COMPREHENSIVE REVIEW READING LIST for Fall 2016 and Spring 2017

Artificial Intelligence/Knowledge Management

  1. Alavi, M. and D. E. Leidner (2001). Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly 25(1): 107-136.
  2. Fahlman, S. and Hinton,G. (1987) Connectionist Architectures for Artificial Intelligence, IEEE Computer 20(1):100-109.
  3. L.B. Booker, D.E. Goldberg, J.H. Holland (1989). Classifier Systems and Genetic Algorithms. Artificial Intelligence, Volume 40, Issues 1–3, September 1989, Pages 235–282
  4. McCarthy, J., and Hayes, P.(1969) Some Philosophical Problems from the

Standpoint of Artificial Intelligence. Machine Intelligence. Vol. 4, p.463-502.

  1. Kalfoglou, Y. and Schorlemmer, M., (2003) Ontology mapping: The State of the Art, The Knowledge EngineeringReview, Vol. 18:1, 1-31.
  1. Schultze, U. and D. E. Leidner (2002). Studying Knowledge Management in Information Systems Research:Discourses and Theoretical Assumptions. MIS Quarterly 26(3): 213-242.
  1. Stanfill, C. and Waltz, D. (1986) Toward Memory-Based Reasoning, Communications of the ACM, 29(12):1213-1228,December.
  1. Tversky, A. and D. Kahneman (1974). Judgment under Uncertainty: Heuristics and Biases. Science 185: 1124-1131.
  1. Woodridge, M., & Jennings, N. R. (1995). Intelligent agents: theory and practice. The Knowledge Engineering Review,10(2), 115-152.
  1. Wang, F-Y., Zeng, D., Carley, K. M., & Mao, W. (2007). Social Computing: From Social Informatics to Social intelligence. IEEE Intelligent Systems, 22(2), 79-83.
  1. Adomavicius, G. and Tuzhillin, A. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering. 17(6), June 2005, 734-749.
  1. Anind K. Dey, Daniel Salber and Gregory D. Abowd (2001). A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-aware Applications. Human Computer Interaction. 16 (2-4), pp. 97-166
  1. Hsinchun Chen; Chiang, Roger H. L.; Storey, Veda C.(2012). Business Intelligence and Analytics: From Big Data to Big Impacts. MIS Quarterly. 36(4), p1165-1188
  1. Cohen, Aaron M. and Hersh, William R. (2005).A Survey of Current Work in Biomedical Text Mining, Briefings in Bioinformatics, 6(1), 57-71.
  2. Sung-Pil Choi and Sung-HyonMyaeng (2012) Terminological paraphrase extraction from scientific literature based on predicate argument tuples. Journal of Information Science, 38(6) 593–611.
  1. Abbasi, Ahmed; Zhang, Zhu; Zimbra, David; Chen, Hsinchun; and Nunamaker, Jay F. Jr.. (2010). "Detecting Fake Websites: The Contribution of Statistical Learning Theory,"MIS Quarterly, (34: 3) pp.435-461.
  2. GueorgiKossinetsand Duncan J. Watts (2006), Empirical Analysis of an Evolving Social Network, Science,311(5757),88-90.
  3. Hevner, A.R., March, S.T., Jinsoo Park, J. and Ram, S. (2004).Design Science in Information Systems Research. MIS Quarterly. 28(1), 75-105.
  4. S Deerwester, S T Landauer T K Dumais, G W Furnas, R A Harshman (1990). Indexing by latent semantic analysis. Journal of the Society for Information Science. 41(6). Available at
  5. C J C Burges (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery. 2, p. 121-167. Available at
  1. Lawrence Page, Sergey Brin, Rajeev Motwani, Terry Winograd (1998). The PageRank citation ranking: Bringing order to the Web. 1998. Available at
  2. Joachims, T. (1998). Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Proceedings of the Tenth European Conference on Machine Learning. Available at
  3. P Resnick, N Iacovou, M Suchak, P Bergstrom, J Riedl (1994). GroupLens: an open architecture for collaborative filtering of Netnews. Proceedings of the ACM 1994 Conference on Computer Supported Cooperative Work(CSCW’94).
  4. Demetrios Zeinalipour-Yazti, Christos Laoudias, Constandinos Costa, Michail Vlachos, Maria I. Andreou, Dimitrios Gunopulos (2013). Crowdsourced Trace Similarity with Smartphones, IEEE Transactions on Knowledge & Data Engineering, vol.25, no. 6, pp. 1240-1253, June 2013
  5. Ghahramani, Z., & Jordan, M. I. (1997). Factorial Hidden Markov models, Machine Learning, 29, pp. 245–273
  6. Sinno Jialin Pan; Qiang Yang (2010). A Survey on Transfer Learning, IEEE Transactions on Knowledge and Data Engineering, 22(10), Page(s): 1345 – 1359
  7. Philemon Brakel and Dirk Stroobandt and Benjamin Schrauwen, Training energy-based models for time-series imputation, Journal of Machine Learning Research, pp. 2771-2797, 2013
  8. A L Berger, S A Della Pietra, V J Della Pietra (1996). A Maximum Entropy approach to natural language processing. Computational Linguistics, 1996.
  9. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton (2015). Deep Learning, Nature521( 7553), 436-444.