Aijun An's Publications


Edited Books

  1. A. An, P. Lingras, S. Petty and R. Huang, Active Media Technology, Proceedings of AMT 2010, Lecture Notes in Computer Science 6335, Springer, 2010.
  2. A. An, S. Matwin, Z. W. Ras, and D. Slezak (Eds.), Foundations of Intelligent Systems, Proceedings of ISMIS 2008, Lecture Notes in Artificial Intelligence 4994, Springer, 2008.
  3. A. An, J. Stefanowski, S. Ramanna, C.J. Butz, W. Pedtycz and G. Wang (Eds.), Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 11th International Conference, RSFDGrC 2007, Lecture Notes in Artificial Intelligence 4482, Springer, Berlin, 2007.

Refereed Journal Papers

  1. Nicholas Dehnen, I. Scott MacKenzie, & Aijun An, TapFix: Cursorless Typographical Error Correction for Touch-Sensor Displays, Sensors, 25(5):1-21, 2025
  2. Amran Bhuiyan, Aijun An, Jimmy Xiangji Huang, Jialie Shen, Optimizing domain-generalizable ReID through non-parametric normalization, Pattern Recognition, Vol.162:1-10, (111385), 2025.
  3. Ghazaleh Babanejaddehaki, Aijun An, Manos Papagelis, Disease Outbreak Detection and Forecasting: A Review of Methods and Data Sources, ACM Transactions on Computing for Healthcare, 6(2):1-40, 2025.
  4. Ghazaleh Babanejaddehaki, Aijun An, Heidar Davoudi, Ontology-based Data Collection for a Hybrid Outbreak Detection Method Using Social Media, IEEE Transactions on Nanobioscience, 23(4): 591-602, October 2024.
  5. Wei Yuan, Zongyang Ma, Aijun An, Jimmy Xiangji Huang, Topic-aware response selection for dialog systems, Natural Language Processing Journal, Elsevier, Vol.8, September 2024, 100087.
  6. Md Amran Hossen Bhuiyan, Jimmy Xiangji Huang, Aijun An, IGMG: Instance-guided Multi-Granularity for Domain Generalizable Person Re-identification, Computer Vision and Image Understanding, Vol. 240, March 2024, 103905.
  7. Shima Khoshraftar and Aijun An, A Survey on Graph Representation Learning Methods, ACM Transactions on Intelligent Systems and Technology, Vol.15, No.1, January, 2024.
  8. N. Babanejad., H. Davoudi, A. Agrawal, A. An, M. Papagelis, The Role of Preprocessing for Word Representation Learning in Affective Tasks, IEEE Transactions on Affective Computing, 15(1):254-272, 2024.
  9. Amin Omidvar and Aijun An, Learning to Generate Popular Headlines, IEEE Access, Vol. 11, 60904-60914, 2023.
  10. X. Zhao, M. Papagelis, A. An, B. X. Chen, J. Liu and Y. Hu, ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model, Machine Learning, 110, 2867-2903, 2021.
  11. Reza Soltani, Uyen Trang Nguyen, Aijun An: A Survey of Self-Sovereign Identity Ecosystem. Security and Communication Networks, 8873429:1-8873429:26, 2021.
  12. MD T. Laskar, J. Huang, V. Smetana, C. Stewart, K. Pow, A. An, S. Chan, L. Liu, Extending Isolation Forest for Anomaly Detection in Big Data via K-Means, ACM Transactions on Cyber-Physical Systems, Vol.5, No.4, October 2021.
  13. H. Davoudi, Z. Rashidi, A. An, M. Zihayat and G. Edall, Paywall Policy Learning in Digital News Media, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.33, No.10, 2021, pp.3394-3409.
  14. M. Zihayat, A. Ayanso, X. Zhao, H. Davoudi and A. An, A utility-based news recommendation system, Decision Support Systems, Vol. 117, February 2019, pp.14-27.
  15. M. Zihayat, Y. Chen and A. An, Memory-Adaptive High Utility Sequential Pattern Mining over Data Streams, Machine Learning, 106(6), 799-836, 2017.
  16. M. Zihayat, C-W. Wu, A. An and V. S. Tseng, Efficiently Mining High Utility Sequential Patterns in Static and Streaming Data, Intelligent Data Analysis, Vol.21, No.S1, pp.S103-S135, 2017.
  17. R. Fok, A. An and X. Wang, Geodesic and Contour Optimization Using Conformal Mapping, Journal of Global Optimization, 69(1): 23-44 (2017).
  18. Morteza Zihayat, Heidar Davoudi, Aijun An, Mining significant high utility gene regulation sequential patterns. BMC Systems Biology 11(6): 109:1-109:14 (2017).
  19. R. Fok, A. An and X. Wang, Mining Evolving Data Streams with Particle Filters, Computational Intelligence, 33(2): 147-180 (2017).
  20. Y. Chen and A. An, Approximate Parallel High Utility Itemset Mining, Big Data Research, Vol. 6: 26-42 (2016). (Source code for PHUI-Miner)
  21. E. Delpisheh, A. An, H. Davoudi and E. Gohari, Time aware topic based recommender system, Big Data and Information Analytics (BDIA), Vol. 1, No. 2/3, 261-274, 2016.
  22. R. Fok, A. Lasek, J. Li, and A. An, Modeling daily guest count prediction, Big Data and Information Analytics, 2016, 1(4): 299-308.
  23. M. Dimkovski and A. An, A Bayesian Model for Canonical Circuits in the Neocortex for Parallelized and Incremental Learning of Symbol Representations, Neurocomputing, 149: 1270-1279, 2015.
  24. M. Kargar and A. An, Finding Top-k r-cliques for Keyword Search from Graphs in Polynomial Delay, Knowledge and Information Systems (KAIS), 43(2): 249-280, 2015.
  25. M. Zihayat and A. An, Mining Top-k High Utility Patterns Over Data Streams, Information Sciences, Vol.285, November 2014, pp.138-161.
  26. M. Kargar, A. An and X. Yu, Efficient Duplication Free and Minimal Keyword Search in Graphs, IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(7): 1657-1669, 2014.
  27. D. Stevanovic, N. Vlajic and A. An, Detection of Malicious and Non-malicious Website Visitors Using Unsupervised Neural Network Learning, Applied Soft Computing, Elsevier, 13(1): 698-708, 2013.
  28. Y. Liu, X. Yu, X. Huang and A. An, Riding the Tide of Sentiment Change: Sentiment Analysis with Evolving Online Reviews, World Wide Web Journal, 16(4), 477-496, 2013.
  29. D. Stevanovic, A. An and N. Vlajic: Feature Evaluation for Web Crawler Detection with Data Mining Techniques, Expert Systems with Applications, 39(10): 8707-8717, 2012.
  30. Yu, X., Liu, Y., Huang, X. and An, A. Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain, IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(4): 720-734, 2012.
  31. M. Kargar and A. An., Keyword Search in Graphs: Finding r-cliques, Proceedings of the VLDB Endowment, Vol.4, No.10, 2011. pp.681-692.
  32. N. Cercone, X. An, J. Li, Z. Gu, and A. An, Finding Best Evidence for Evidence-based Best Practice Recommendations in Health Care: the Initial Decision Support System Design, Knowledge and Information Systems: an International Journal (KAIS), Vol.29, No.1, 159-201, 2011.
  33. Yang Liu, Xiaohui Yu, Xiangji Huang and Aijun An. "Combining Integrated Sampling with SVM Ensembles for Learning from Imbalanced Datasets", Information Processing & Management (IPM), Vol.47, No.4, 617-631, 2011.
  34. Wan, Q. and An., A. Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol.21, No.12, 2009. 1692-1707.
  35. Andreopoulos, B., An, A., Wang, X. and Michael Schroeder, A Roadmap of Clustering Algorithms: Finding a Match for a Biomedical Application, Briefings in Bioinformatics, Oxford University Press, 10(3), 297-314, 2009.
  36. Andreopoulos, B., An, A., Wang, X. and Dirk Labudde, Efficient Layered Density-based Clustering of Categorical Data, Journal of Biomedical Informatics, Elsevier, 42(2), 2009. pp.365-376.
  37. Andreopoulos, B., An, A., Wang, X., Faloutsos, M. and Schroeder, M. Clustering by common friends finds locally significant proteins mediating modules, Bioinformatics, Oxford University Press, 23(9): 1124-1131, 2007.
  38. Liu, Y., Huang, X. and An, A. Personalized Recommendation with Adaptive Mixture of Markov Models, Journal of the American Society for Information Science and Technology (JASIST), Wiley InterScience Publisher, Vol.58, No.12, 2007. pp.1851 - 1870.
  39. Andreopoulos, B., An, A., Tzerpos, V. and Wang, X. Clustering Large Software Systems at Multiple Layers, Information and Software Technology (IST), Elsevier, 49(3): 244-254, 2007.
  40. Andreopoulos, B., An, A., Huang, X. and Wang, X. Finding Molecular Complexes through Multiple Layer Clustering of Protein Interaction Networks, International Journal of Bioinformatics Research and Applications (IJBRA), Vol.3, No.1, 2007. pp.65-85.
  41. Huang, X., Yao, Q. and An, A. Applying Language Modeling to Session Identification from Database Trace Logs, Knowledge and Information Systems: An International Journal (KAIS), Springer, Vol.10, No.4, 2006. pp.473-504.
  42. An, A., Khan, S. and Huang, X. Hierarchical Grouping of Association Rules and its Application to a Real-World Domain , International Journal of Systems Science (IJSS), the special issue on Advances in Data Mining and its Applications, Taylor & Francis, Vol.37, No.13, 2006. pp.867-878.
  43. Andreopoulos, B., An, A. and Wang, X. Bi-Level Clustering of Mixed Categorical and Numerical Biomedical Data, International Journal of Data Mining and Bioinformatics (IJDMB), Vol.1, No.1, 2006. pp.19-56.
  44. Wan, Q. and An, A. An Efficient Approach to Mining Indirect Associations, Journal of Intelligent Information Systems (JIIS), Kluwer Academic Publishers, Vol.27, No.2, 2006.
  45. Huang, X., Peng, F., An., A. and Schuurmans, D. Dynamic Web Log Session Boundary Detection with Statistical Language Modeling, Journal of the American Society for Information Science and Technology (JASIST), Vol.55, No.14, 2004. pp.1290-1303.
  46. An, A., Huang, Y., Huang, X. and Cercone, N. Feature Selection with Rough Sets for Web Page Classification. LNCS Transactions on Rough Sets, Springer Verlag, Vol.2, 2004. pp.1-13.
  47. An, A. Learning Classification Rules from Data, International Journal of Computers and Mathematics with Applications, Vol.45, No.4-5, pp.737-748, 2003.
  48. Cercone, N, Hou, L., Keselj, V., An, A., Naruedomful, K. and Hu, X., "Computational Intelligence (CI) to Web Intelligence (WI)", IEEE Computer, October 2002.
  49. An, A. and Cercone, N. Rule Quality Measures for Rule Induction Systems: Description and Evaluation, Computational Intelligence, Vol.17, No.3, 2001. pp.409-424.
  50. Huang, X., Robertson, S., Cercone, N. and An, A. ``Probability-based Chinese Text Processing and Retrieval'', Computational Intelligence, Vol.16, No.4, 2000. pp.552-569.
  51. Cercone, N., An, A. and Chan, C. Rule Induction and Case-based Reasoning: Hybrid Architectures appear Advantageous, IEEE Transactions on Knowledge and Data Engineering, Vol.11, No.1, 1999. pp.166-174.
  52. An, A., Chan, C., Shan, N., Cercone, N. and Ziarko, W., Applying Knowledge Discovery to Predict Water-Supply Consumption, IEEE Expert, July/August 1997. pp.72-78.
  53. An, A., Shan, N., Chan, C., Cercone, N. and Ziarko, W., Discovering Rules for Water Demand Prediction: An Enhanced Rough-Set Approach, Engineering Applications of Artificial Intelligence, Vol.9, No.6, 1996. pp.645-654.

Refereed Conference Papers

  1. Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, USA, Feb 28 - Mar 4, 2025.
  2. Saeed Abbasi, Aijun An, Heidar Davoudi, Ron Di Carlantonio and Gary Farmaner, Neural Document Segmentation Using Weighted Sliding Windows with Transformer Encoders, Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, UAE from January 19 to 24, 2025.
  3. James Fletcher, Nicholas Dehnen, Seyed Nima Tayarani Bathaie, Aijun An, Heidar Davoudi, Ron Di Carlantonio, Gary Farmaner, Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, Florida, USA, November 12-16, 2024.
  4. Qinxin Du, Xiaohui Yu, Aijun An and Dariusz Jania, Optimizing Data Compression via Data Reordering, Proceedings of the 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON'24), Toronto, Canada, November 11-13, 2024. (Best Student Paper Award)
  5. Zhongxin Hu, Kaiyu Li, Xingjian Mao, Jingfeng Pan, Yunfei Peng, Aijun An, Xiaohui Yu, Dariusz Jania, DAMOCRO: A Data Migration Framework Using Online Classification and Reordering, Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), Boise, Idaho, USA, October 21-25, 2024.
  6. Armin Gholampoor, Aijun An, Ron Di Carlantonio and Gary Farmaner, Evaluating Fact Alignment and Retrieval Functionalities of GPT-4 as a RAG model in the Automotive Domain, Proceedings of the CIKM Workshop on GenAI and RAG Systems for Enterprise (RAG-Enterprise), Boise, Idaho, USA, October 25,2024.
  7. Junjie Deng, Aijun An, Hajer Ayadi, Yiming Shao, Hossein Pourmodheji, Hao Zhou, and Michael Feiman, GPU Job Scheduler with Deep Reinforcement Learning. Proceedings of the 37th Canadian Conference on Artificial Intelligence, Guelph, Canada, May 27-31, 2024.
  8. Winston Chan, Aijun An and Heidar Davoudi, A Case Study on ChatGPT Question Generation, Proceedings of the IEEE International Conference on Big Data (IEEE BigData'23), Sorrento, Italy, December 15-18, 2023.
  9. Ghazaleh Babanejaddehak, Aijun An and Heidar Davoudi, A Hybrid Outbreak Detection using Ontology-based Data Collection from Social Media, Proceedings of the International Conference on Bioinformatics and Biomedicine (BIBM'23), Istanbul, Turkey, December 5-8, 2023.
  10. Amin Omidvar and Aijun An, Empowering Conversational Agents using Semantic In-Context Learning, Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA@ACL 2023), Toronto, Canada, July 2023.
  11. Wei Yuan, Martin Dimkovski and Aijun An, Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree, Proceedings of the Web Conference (WWW 2023), Austin, Texas, USA, on April 30 - May 4, 2023.
  12. Alireza Naeiji, Aijun An, Heidar Davoudi, Marjan Delpisheh, Muath Alzghool, Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL'23), Dubrovnik, Croatia, May 2-5, 2023.
  13. Shima Khoshraftar, Aijun An, Nastaran Babanejad, Temporal Graph Representation Learning via Maximal Cliques, Proceedings of the IEEE Conference on Big Data (IEEE BigData'22), Osaka, Japan, December 17-20, 2022.
  14. Lixian Liu, Amin Omidvar, Zongyang Ma, Ameeta Agrawal and Aijun An, Unsupervised Knowledge Graph Generation Using Semantic Similarity Matching, Proceedings of the 3rd Workshop on Deep Learning Approaches for Low-Resource NLP (co-located with NAACL'22), Seattle, Washington, USA, July 14, 2022.
  15. S. Khoshraftar, S. Mahdavi and A. An, Centrality-based Interpretability Measures for Graph Embeddings, Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA'21), Online, October 6-9, 2021.
  16. Nastaran Babanejad, Heidar Davoudi, Aijun An, Manos Papagelis, Affective and Contextual Embedding for Sarcasm Detection, Proceedings of the 28th International Conference on Computational Linguistics (COLING'20), December 8-13, 2020.
  17. Bon Ryu, Aijun An, Zana Rashidi, Junfeng Liu, Yonggang Hu, Towards topology aware pre-emptive job scheduling with deep reinforcement learning, Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering (CASCON'20: Conference of the Center for Advanced Studies on Collaborative Research), Virtual, November 22-26, 2020. pp. 83-92.
  18. Mufleh Al-Shatnawi, Amir Asif, Vida Movahedi, Aijun An, Yonggang Hu, Junfeng Liu, Multiple pedestrian tracking based on modified mask R-CNN and enhanced particle filter using an adaptive information driven motion model, Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering (CASCON'20: Conference of the Center for Advanced Studies on Collaborative Research), Virtual, November 22-26, 2020. pp. 4-12.
  19. Zana Rashidi, Kasra Ahmadi, Aijun An and Xiaogang Wang, Adaptive Momentum Coefficient for Neural Network Optimization, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'20), Online, September 2020.
  20. Ameeta Agrawal, Aijun An and Manos Papagelis, Leveraging Transitions of Emotions for Sarcasm Detection, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'20), Online, July 2020.
  21. Nastaran Babanejad, Ameeta Agrawal, Aijun An and Manos Papagelis, A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks, Proceedings of the 2020 Annual Conference of the Association for Computational Linguistics (ACL), Online, July 5-10, 2020.
  22. Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh, Emad Gohari, Question-Worthy Sentence Selection for Question Generation. Canadian Conference on Artificial Intelligence, May 13-15, 2020: 388-400.
  23. Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall: Learning to Determine the Quality of News Headlines. Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART'20), Valletta, Malta, February 22-24, 2020: 401-409.
  24. Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu, Elastic Bulk Synchronous Parallel for Distributed Deep Learning, Proceedings of the IEEE International Conference on Data Mining (ICDM'19), Beijing, China, November 8-11, 2019.
  25. S. Khoshraftar, S. Mahdavi, A. An, Y. Hu and J. Liu, Dynamic Graph Embedding via LSTM History Tracking, Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA'19), Washington DC, USA on October 5-8, 2019.
  26. Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis, Leveraging Emotion Features in News Recommendations, Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems (INRA@RecSys), Copenhagen, Denmark, September 20, 2019 2019: 70-78.
  27. Sedigheh Mahdavi, Shima Khoshraftar, Aijun An, Dynamic Joint Variational Graph Autoencoders. Proceedings of PKDD/ECML Workshops, September 16-20, 2019: 385-401.
  28. Sadra Abrishamkar, Forouq Khonsari, Aijun An, Jimmy Xiangji Huang, Susan McGrath, Mining large-scale news articles for predicting forced migration, a paper on the Project Showcase Track at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, Alaska, USA, August 4-8, 2019.
  29. X. Zhao, A. An, J. Liu and B. X. Chen, Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning, Proceedings of the 39th IEEE International Conference on Distributed Computing Systems (ICDCS'19), Dallas, Texas, USA, July 7-10, 2019.
  30. H. Davoudi, A. An and G. Edall, Content-based Dwell Time Prediction Model for News Articles, Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'19), Minneapolis, USA, June 2-7, 2019.
  31. S. Mahdavi, S. Khoshraftar and A. An, dynnode2vec: Scalable Dynamic Network Embedding, Proceedings of the 2018 IEEE International Conference in Big Data (IEEE BigData 2018), Seattle, USA. pp. 3762-3765.
  32. A. Agrawal, A. An and M. Papagelis, Learning Emotion-enriched Word Representations, Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, New Mexico, on August 20-26, 2018.
  33. H. Davoudi, A. An, M. Zihayat and G. Edall, Adaptive Paywall Mechanism for Digital News Media, Proceedings of the 2018 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'18), London, U.K., on August 19-23, 2018
  34. M. Al-Shatnawi, V. Movahedi, A. Asif and A. An, Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation, Proceedings of the 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP), Vancouver, Canada, August 2018.
  35. A. Agrawal and A. An, Affective Representations for Sarcasm Detection, Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'18), Ann Arbor, Michigan, U.S.A. July 8-12, 2018.
  36. R. Fok, A. An, Z. Rashidi and X. Wang, Decoupling the Layers in Residual Networks, Proceedings of the Sixth International Conference on Learning Representations (ICLR'18), Vancouver, BC, Canada, April-May, 2018.
  37. Y.Chen, M. L. Yann, H. Davoudi, J. Choi, A. An and Z. Mei, Contrast Pattern based Collaborative Behavior Recommendation System for Life Improvement, Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jeju, South Korea, May 23-26, 2017.
  38. Heidar Davoudi, Morteza Zihayat and Aijun An, Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media, Proceedings of the 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, USA, April 27-29, 2017.
  39. Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar and Jaroslaw Szlichta, Authority-based Team Discovery in Social Networks, Proceedings of the 20th International Conference on Extending Database Technology (EDBT'17), Venice, Italy, March 21-24, 2017.
  40. Morteza Zihayat, Heidar Davoudi, and Aijun An, Top-k Utility-based Gene Regulation Sequential Pattern, Proceedings of the 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016), in Shenzhen, China, Dec 15-18, 2016.
  41. Morteza Zihayat, Zane Zhenhua Hu, Aijun An, and Yonggang Hu, Distributed and Parallel High Utility Sequential Pattern Mining, Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington D.C., USA, December 5-8, 2016.
  42. Adetokunbo Makanju, Zahra Farzanyar, Aijun An, Nick Cercone, Zane Hu, and Yonggang Hu, Deep Parallelization of Parallel FP-Growth Using Parent-Child MapReduce, Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington D.C., USA, December 5-8, 2016.
  43. A. Agrawal and A. An, Selective Co-occurrences for Word-Emotion Association, Proceedings of the 26th International Conference on Computational Linguistics (COLING'16), Osaka, Japan, December 11-16, 2016.
  44. A. Agrawal, R. Sahdev, H. Davoudi, F. Khonsari, A. An and S. McGrath, Detecting the Magnitude of Events from News Articles, Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, Omaha, Nebraska, USA, October 13-16, 2016.
  45. M. Dimkovski and A. An. Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding, Proceedings of the 2016 International Conference on Brain Informatics & Health (BIH'16), Omaha, Nebraska, USA, October 13-16, 2016.
  46. X. Tan, J. X. Huang and A. An. Ranking Documents through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. Proceeding of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR'16), Pisa, Italy, July 17-21, 2016. 961-964.
  47. N. Shahbazi, R. Soltani, J. Gryz, A. An. (2016). Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. Proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM’16), New York, United States, July 16-21, 2016. 387-400.
  48. M. Zihayat, C.-W. Wu, A. An, and V. S. Tseng. Mining high utility sequential patterns from evolving data streams. Proceedings of the Fifth ASE International Conference on Big Data (BigData 2015), Kaohsiung, Taiwan, pages 52:1-52:6, 2015.
  49. H. Davoudi and A. An, Ontology-Based Topic Labeling and Quality Prediction, Proceedings of International Symposium on Methodologies for Intelligent Systems (ISMIS 2015), Lyon, France, October 2015.
  50. M. Kargar, A. An, N. Cercone, P. Godfrey, J. Szlichta and X. Yu, Meaningful Keyword Search in Relational Databases with Large and Complex Schema, Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE'15), Seoul, Korea, April 13-17, 2015. 411-422.
  51. M. Zihayat, M. Kargar and A. An, Two-Phase Pareto Set Discovery for Team Formation in Social Networks, Proceedings of the 2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI'14), Warsaw, Poland, August 11-14, 2014. 304-311.
  52. M. Kargar, A. An, N. Cercone, P. Godfrey, J. Szlichta and X. Yu, MeanKS: Meaningful Keyword Search in Relational Databases with Complex Schema (demo paper), Proceedings of the 2014 ACM SIGMOD Conference, Snowbird, Utah, USA, June 22-27, 2014. 905-908
  53. E. Delpisheh and A. An, Topic Modeling using Collapsed Typed Dependency Relations, Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), Tainan, Taiwan, May 13-16, 2014. 146-161.
  54. M. Kargar, A. An, N. Cercone, K. Tirdad, M. ZiHayat: Signal detection in genome sequences using complexity based features. Proceedings of the 12th International Workshop on Data Mining in Bioinformatics (BioKDD 2013), Chicago, IL, USA, August 2013. 25-33.
  55. M. Kargar, M. Zihayat and A. An, Finding Affordable and Collaborative Teams from a Network of Experts, Proceedings of the 2013 SIAM International Conference on Data Mining (SDM'13), Austin, Texas, USA, May, 2013. 587-595.
  56. A. Agrawal and A. An, Unsupervised Emotion Detection from Text using Semantic and Syntactic Relations, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'12), Macau, China, December 4-7, 2012. 346-353.
  57. M. Kargar, A. An and M. Zihayat, Efficient Bi-objective Team Formation in Social Networks, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'12), Bristol, U.K., September 2012. 483-498.
  58. M. Kargar and A. An, "Efficient Top-k Keyword Search in Graphs with Polynomial Delay" (demo paper), Proceedings of the 28th IEEE International Conference on Data Engineering (ICDE'12), Washington D.C, April 1-5, 2012. 1269-1272.
  59. M. Kargar and A. An, "TeamExp: Top-k Team Formation in Social Networks" (demo paper), Peoceedings of the Workshops for the 2011 IEEE International Conference on Data Mining (ICDM'11), Vancouver, Canada, in December 2011. 1231-1234.
  60. M. Kargar and A. An, Discovering Top-k Teams of Experts with/without a Leader in Social Networks, Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM'11), Glasgow, U.K., October 24-28, 2011. 985-994. (acceptance rate: 15%).
  61. M. Kargar and A. An., Keyword Search in Graphs: Finding r-cliques, Proceedings of the VLDB Endowment, Vol.4, No.10, 2011. pp.681-692. Full paper for the 37th International Conference on Very Large Data Bases (VLDB'11), Seattle, WA, 2011. (acceptance rate: 18%, cross-listed as a journal paper)
  62. D. Stevanovic, N. Vlajic, A. An, Unsupervised Clustering of Web Sessions to Detect Malicious and Non-malicious Website Users, Proceedings of the 2nd International Conference on Ambient Systems, Networks and Technologies, Niagara Falls, Canada, September 2011. 123-131.
  63. D. Stevanovic, A. An, and N. Vlajic, Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers, Proceedings of the 19th International Symposium on Methodologies for intelligent Systems (ISMIS'11), Warsaw, Poland, June 28-30, 2011.
  64. B. Sarrafzadeh, N. Yakovets, N. Cercone and A. An., Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian. Proceedings of the 19th International Symposium on Methodologies for intelligent Systems (ISMIS'11), Warsaw, Poland, June 28-30, 2011. 449-455.
  65. B. Sarrafzadeh, N. Yakovets, N. Cercone and A. An., Cross Lingual Word Sense Disambiguation for Languages with Scarce Resources, Proceedings of the 24th Canadian Conference on Artificial Intelligence (AI'11), St. John's, Newfoundland and Labrador, Canada, May 25-27, 2011. 347-358.
  66. D. Sotoudeh and A. An. Partial Drift Detection Using a Rule Induction Framework, Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'10), Toronto, Canada, October 26-30, 2010.
  67. M. Kargar and A. An. Evaluation of Different Complexity Measures for Signal Detection in Genome Sequences, Proceedings of the 2010 ACM International Conference On Bioinformatics and Computational Biology (ACM-BCB'10), Niagara Falls, NY, August 2-4, 2010.
  68. M. Kargar and A. An. The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks, Proceedings of the 2010 International Conference on Brain Informatics (BI'10), Toronto, Canada, August 28-30, 2010.
  69. X. Yu, Y. Liu, X. Huang, A. An. S-PLSA+: Adaptive Sentiment Analysis with Application to Sales Performance Prediction, Proceedings of the 33rd Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'10), Geneva, Switzerland, on 19-23 July 2010. 873-874.
  70. X. Yu, Y. Liu, X. Huang, A. An. A Quality-Aware Model for Sales Prediction Using Reviews, Proceedings of the 19th International World Wide Web Conference (WWW 2010), Raleigh, North Carolina, April 26-30, 2010. 1217-1218.
  71. An, A., Wan, Q., Zhao, J. and Huang, X. Diverging Patterns: Discovering Significant Frequency Change Dissimilarities in Large Databases, Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM'09), Hong Kong, November 2-6, 2009.
  72. Rohian, H., An, A., Zhao, J. and Huang, X. Discovering Temporal Associations among Significant Changes in Gene Expression, Proceedings of the IEEE International Conference on Bioinformatics & Biomedicine (BIBM'09), Washington D.C., Nov 1-4, 2009.
  73. Liu, Y., Huang, X., An, A. and Yu, X. Predicting the Helpfulness of Online Reviews, Proceedings of the 2008 IEEE International Conference on Data Mining (ICDM'08), Pisa, Italy, December 15-19, 2008.
  74. Liu, Y., Huang, X., An, A. and Yu, X. HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews, Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, December 9-12, 2008.
  75. Andreopoulos, B., An, A. Huang, X. and Labudde, D. Integration of Gene Interactions, Protein Interactions and Other Biomedical Information on the Semantic Web, Proceedings of the ER workshop on Conceptual Modelling in Life Sciences Applications (CMLSA.08), Barcelona, October 20-23, 2008.
  76. Wan, Q. and An, A. Transitional Patterns and Their Significant Milestones, Proceedings of the 2007 IEEE International Conference on Data Mining (ICDM'07), Omaha, NE, USA, 2007. pp.691-696. (Acceptance rate: 19%)
  77. Liu, Y., Huang, X., An, A. and Yu, X. A Sentiment-Aware Model for Predicting Sales Performance Using Blogs, Proceedings of the 30th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'07), Amsterdam, Netherlands, July 23-27, 2007. pp.607-614. (Acceptance rate: 18%)
  78. Wang, L. and An, A. Fast Counting with AV-Space for Efficient Rule Induction, Proceedings of the SIAM International Conference on Data Mining (SDM'07), Minneapolis, Minnesota, April 26-28, 2007. pp.15-26. (Acceptance rate: 12%).
  79. Andreopoulos, B., An, A. and Wang, X. Hierarchical Density-based Clustering of Categorical Data and a Simplification, Proceedings of the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'07), Nanjing, China, 2007. pp. 11-22.(Acceptance rate: 5%)
  80. Andreopoulos, A., Andreopoulos, B., An, A. and Wang, X. Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways, Proceedings of the PAKDD workshop on data mining for biomedical applications (BioDM 2007), 2007. pp.174-185.
  81. Huang, X., Huang, Y., Wen, M., An, A., Liu, Y and Poon, J. Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval, Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM'06), Hong Kong, December 18-22, 2006. pp.295-306. (Acceptance rate: 9%)
  82. Yao, Q., An, A. and Huang, X. Mining and Modeling Database User Access Patterns, Proceedings of the 16th International Symposium on Methodologies for Intelligent Systems (ISMIS'06), Bari, Italy September 2006.
  83. Huang, X., Wen, M., An, A. and Huang, Y. A Platform for Okapi-Based Contextual Information Retrieval, Proceedings of the 29th Annual International ACM SIGIR Conference on Research & Development on Information Retrieval (SIGIR'06), Seattle, Washington, August 2006.
  84. Wan, Q. and An, A. Efficient Indirect Association Discovery Using Compact Transaction Databases, Proceedings of the IEEE International Conference on Granular Computing (GrC 2006), Atlanta, USA, May 2006.
  85. Liu, Y., An, A. and Huang, X. Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles, Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006), Singapore, April 2006.
  86. Andreopoulos, B., An, A., Huang, X. The IGIPI Ontological Framework: Integrating Gene Interactions with Protein Interactions. Proceedings of Network Tools and Applications in Biology 2005 (NETTAB 2005), Naples, Italy, October 2005.
  87. Andreopoulos, B., An, A., Tzerpos, V. and Wang, X. Multiple Layer Clustering of Large Software Systems, Proceedings of the Working Conference on Reverse Engineeering (WCRE 2005), Pittsburgh, Pennsylvania, 2005.
  88. Yao, Q., Huang, X. and An, A. A Machine Learning Approach to Identify Database Sessions Using Unlabeled Data, Proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005), Copenhagen, Denmark, August 2005.
  89. Andreopoulos, B., An, A. and Wang, X., Clustering Mixed Numerical and Low Quality Categorical Data: Significance Metrics on a Yeast Example, Proceedings of the Second International ACM SIGMOD Workshop on Information Quality in Information Systems (IQIS 2005), Baltimore, MD, June 2005.
  90. Wan, Q. and An, A. Compact Transaction Database for Efficient Frequent Pattern Mining, Proceedings of the IEEE International Conferene on Granular Computing (GrC'05), Beijing, China, July 2005.
  91. Zou, Y., An, A. and Huang, X. Evaluation and Automatic Selection of Methods for Handling Missing Data, Proceedings of the IEEE International Conferene on Granular Computing (GrC'05), Beijing, China, July 2005.
  92. Li, Y. and An, A. Representing UML Snowflake Diagram from Integrating XML Data Using XML Schema, Proceedings of the ICDE International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005), Tokyo, Japan, 2005.
  93. Yao, Q., An, A., and Huang, X. A Distance-based Algorithm for Clustering Database User Sessions, Proceedings of the 15th International Symposium on Methodologies for Intelligent Systems (ISMIS 2005), Saratoga Springs, New York, 2005.
  94. Yao, Q., An, A. and Huang, X. Finding and Analyzing Database User Sessions, Proceedings of the 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005), Beijing, China, 2005.
  95. Li, Y. and An, A. Converting XML to UML for OLAP Using XML Schema and XMI, Proceedings of the Third International Workshop on Cooperative Internet Computing (CIC'04), Hong Kong, China, 2004.
  96. Liu, Y., An, A. and Huang, X. Web Surfing Recommendations in a Real Application, Proceedings of the ECML/PKDD'04 Workshop on Statistical Approaches for Web Mining (SAWM), Pisa, Italy, 2004. 2-13.
  97. Liu, Y., Huang, X. and An, A. Clustering Web Surfers with Probabilistic Models in a Real Application, Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), Beijing, China, 2004. 761-765.
  98. Yao, Q. and An, A. Characterizing Database User's Access Patterns, Proceedings of the 15th International Conference on Database and Expert Systems Applications (DEXA'04), Zaragoza, Spain, 2004. 528-538.
  99. An, A., Khan, S. and Huang, X. Objective and Subjective Algorithms for Grouping Association Rules, Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, Florida, 2003. 477-480.
  100. Yao, Q. and An, A. Using User Access Patterns for Semantic Query Caching, Proceedings of the 14th International Conference on Database and Expert Systems Applications (DEXA'03), Prague, Czech Republic, 2003. 737-746.
  101. Huang, Y., Huang, X., Cercone, N. and An. A. A Comparison of Term Weighting Methods for Feature Selection in Web Page Classification, Proceedings of the Conference of Pacific Association for Computational Linguistics (PACLING'03), Halifax, Nova Scotia, 2003. 211-220.
  102. Yao, Q. and An, A. SQL-Relay: An Event-Driven Rule-Based Database Gateway, Proceedings of the Fourth International Conference on Web-Age Information Management (WAIM'03), Chengdu, China, 2003.
  103. Wan, Q. and An, A. Efficient Mining of Indirect Associations Using HI-Mine, Proceedings of the 16th Canadian Conference on Artificial Intelligence (AI'03), Halifax, Nova Scotia, 2003. 206-221.
  104. Huang, X., Peng, F. An, A., Schuurmans, D. and Cercone, N. Session Boundary Detection for Association Rule Learning Using n-Gram Language Models, Proceedings of the 16th Canadian Conference on Artificial Intelligence (AI'03), Halifax, Nova Scotia, 2003. 237-251.
  105. Huang, X., An, A., Cercone, N. and Promhouse, G. Discovery of Interesting Association Rules from Livelink Web Log data, Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), Maebashi City, Japan, 2002. 763-766.
  106. Huang, X., An, A., Cercone, N. and Promhouse, G. Comparison of Interestingness Functions for Learning Web Usage Patterns, Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM'02), McLean, VA, USA, 2002. 617-620.
  107. An, A. and Wang, Y. Comparisons of Classification Methods for Screening Potential Compounds, Proceedings of the IEEE International Conference on Data Mining (ICDM.01), San Jose, CA, 2001. 11-18.
  108. An, A., Cercone, N. and Huang, X. (2001) A Case Study for Learning from Imbalanced Data Sets, Proceedings of the 14th Canadian Conference on Artificial Intelligence (AI2001), Ottawa, Canada, 2001. 1-15.
  109. An, A. and Cercone, N. Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach, Proceedings of the 12th International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, 2000. 119-129.
  110. Han, J., An, A. and Cercone, N. Cviz: An Interactive Visualization System for Rule Induction, Proceedings of the 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence (AI2000), Montreal, Canada, 2000. 214-226.
  111. An, A. and Cercone, N. An Empirical Study on Rule Quality Measures, Proceedings of the Seventh International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, Yamaguchi, Japan, 1999. 482-491.
  112. An, A., Cercone, N. and Chan, C. ORTES: The Design of a Real-Time Control Expert System, Proceedings of the Eleventh International Symposium on Methodologies for Intelligent Systems, Warsaw, Poland, 1999. 319-329.
  113. An, A. and Cercone, N. Discretization of Continuous Attributes for Learning Classification Rules, Proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-99), Beijing, China, 1999. 509-514.
  114. Huang, X, Robertson, S.E., Cercone, N. and An, A. Probability-based Chinese Text Processing and Retrieval, Proceeding of Pacific Association for Computational Linguistics Conference (PACLING'99), Waterloo, Canada, 1999. 223-234.
  115. An, A. and Cercone, N. ELEM2: A Learning System for More Accurate Classifications, Proceedings of the 12th Canadian Conference on Artificial Intelligence, Vancouver, Canada, 1998. 426-441.
  116. An, A. and Cercone, N. Multimodal Reasoning with Rule Induction and Case-Based Reasoning, Proceedings of the AAAI-98 Spring Symposium on Multimodal Reasoning, Palo Alto, CA, 1998. 118-124.
  117. An, A., Cercone, N. and Chan, C. Integrating Rule Induction and Case-based Reasoning to Enhance Problem Solving, Proceedings of the Second International Conference on Case-Based Reasoning, Rhode Island, USA, 1997. 499-508.
  118. An, A., Chan, C., Cercone, N. and Huang, X. Water Demand Forecasting Using Case-Based Reasoning, Proceedings of the IJCAI.97 Workshop on Practical Use of Case-based Reasoning, Nagoya, Japan, 1997. 99-110.
  119. Kritpiphat, W., An, A., Chan, C.W., Tontiwachwuthikul, P. Supervisory and Decision Support System for Intelligent Monitoring and Control of a Pipeline Network, AICh.E. Symposium Series 312, Vol. 93, 1996 - Intelligent Systems in Process Engineering, edited by G. Stephanopoulos (MIT), J.F. Davis (Ohio State U.) and V. Venkatasubramanian (Perdue U), American Institute of Chemical Engineers, 1996. 335-360.
  120. An, A., Cercone, N., Chan, C. and Shan, N., ELEM: A Method for Inducing Rules from Examples, Proceedings of the 15th Annual Conference of the British Computer Society Specialist Group on Expert Systems, Cambridge, UK, 1995. 85-99.
  121. Kritpiphat, W., An, A., Tontiwachwuthikul, P., Chan, C.W. and Cercone, N. Intelligent Monitoring and Control System of a Pipeline Network, Proceedings of the Sixth Saskatchewan Petroleum Conference, Regina, Canada, sponsored by the Petroleum Society of CIM, 1995. 9 pages.
  122. Huang, X, An, A., Robertson, S.E. and Tontiwachwuthikul, P. A Knowledge Based Approach to Fuzzy Information Retrieval from Petroleum Databases, Proceedings of the Sixth Saskatchewan Petroleum Conference, sponsored by the Petroleum Society of CIM, Regina, Canada, 1995. 10 pages.
  123. An, A., Shan, N., Chan, C. and Cercone, N. Discovering Rules for Data for Water Demand Prediction'', Proceedings of the 13th Iinternational Joint Conference on Artificial Intelligence, Workshop on Machine Learning in Engineering, Montreal, Canada, 1995. 187-202.
  124. Chan, C.W., Tontiwachwuthikul, P., An, A., Kritpiphat, W. Construction of an Intelligent System for Management and Control of a water distribution network, Proceedings of the 13th Annual International Association of Management Conference, Vancouver, Canada, 1995. 19-23.
  125. Tontiwachwuthikul, P., Chan, C.W., Kritpiphat, W. and An, A. Developing an Intelligent Monitoring and Control System of A Distribution Pipeline Network, Proceedings of the 5th International Conference on Advanced Science and Technology, Bangkok, Thailand, 1995.
  126. Kritpiphat, W., Tontiwachwuthikul, P., Chan, C.W., An, A. and Cercone, N. Supervisory and Decision-Support System for Intelligent Monitoring and Control of a Municipal Water Distribution Process, Proceedings of the 1995 International Conference on Intelligent Systems in Process Engineering, Snowmass Village, Colorado, USA, 1995.
  127. An, A., Shan, N., Cercone, N. and Chan, C. An Approach to Checking Consistency Among Multiple Task Rules, Proceedings of the IASTED International Conference on Applied Modeling, Simulation and Optimization, Cancun, Mexico, 1995. 31-34.
  128. An, A., Chan, C.W., Kritpiphat, W., Tontiwachwuthikul, P. and Cercone, N., Intelligent Monitoring of a Municipal Water Supply System, Proceedings of the National Association of Corrosion Engineering (NACE) International - 1995 Canadian Region Western Conference}, Regina, Saskatchewan, Canada, 1995. 387-395.
  129. Chan, C.W., Cercone, N, An, A. and Tontiwachwuthikul, P. Object-Oriented Modeling and Simulation of an Expert System for Monitoring and Control of a Water Distribution System, Proceedings of the 1994 International Conference on Object-Oriented Information Systems, London, UK, 1994. 130-133.
  130. Chan, C., An, A., Cercone, N. and Tontiwachwuthikul, P. A Real-Time Expert System for Reservoir Monitoring and Control in a Water Distribution System, Proceedings of the 44th Canadian Chemical Engineering Conference, Calgary, Canada, 1994. 83-84.
  131. Huang, X. and An, A., Design and Implementation of a Chinese Full-text Retrieval System based on a Probabilistic Model, Proceedings of the 1993 IEEE International Conference on Computer, Communication and Automation, Beijing, China, 1993.
  132. Huang, X. and An, A. Design and Implementation of an Optimal Retrieval Algorithm Based on a Probabilistic Model, Proceedings of the Third National Conference of Youth on Computer, Changsha, China, 1991.

Refereed Book Chapters

  1. Andreopoulos, B., Huang, X., An, A., Labudde, D. and Hu, Q. Promoting Diversity in Top Hits for Biomedical Passage Retrieval, In Z. Ras and A. Dardzinska (eds.): Advances in Data Management, Springer. 2009. 371-393.
  2. Liu, Y., Yu, X., Huang, X. and An, A. Blog Data Mining: the Predictive Power of Sentiments, In L. Cao, P.S. Yu, C. Zhang, H. Zhang (eds.): Domain Driven Data Mining: Domain Problems and Applications, Springer. To appear in 2008.
  3. An, A. Classification Methods. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining, Idea Group Inc., 2005. 144-149.
  4. Cercone, N., Hou, J., Keselj, V., An, A., and Naruedomkul, K. From Computational to Web Intelligence, Selected topics in Computing and Information Sciences, Misra, J.C. (ed.) Computing and Information Sciences: Recent Trends, Narosa Publishing House, New Delhi, 2003. 162-177.

Non-refereed Publications

  1. An, A. and Cercone, N. User's Manual - ELEM2 Rule Induction System - Version 3.0, Technical Report CS-2000-18, Department of Computer Science, University of Waterloo, Canada, 2000. 24 pages.
  2. An, A. ELEM2: Rule Induction and Classification, Proceedings of American Statistical Association, 2000. 34-39.
  3. An, A. and Cercone, N. User's Manual - ELEM2 Rule Induction System, Technical Report CS-98-23, Department of Computer Science, University of Waterloo, Canada, 1998. 20 pages.
  4. An, A. A Water Demand Forecaster Using Case-Based Reasoning and Inductive Learning, IRIS-PRECARN VII Annual Conference, Ottawa, Canada, 1997. 12-13.