242 Engineering Complex, 674-7280
Office Hours: MW 1-3pm (or by appointment)
Philip Chan
242 Engineering Complex, 674-7280
Office Hours: MW 1-3pm (or by appointment)
Schedule
| Week | Dates | Monday | Wednesday |
| 1 | Aug 17 & 19 | Introduction A Mining/Learning Algorithm [Classification] | Syskill & Webert: Identifying interesting web sites. M. Pazzani, J. Muramatsu & D. Billsus, Proc. AAAI, p54-61, 1996 |
| 2 | Aug 24 & 26 | Classification [More details in Induction of Decision Trees. J. Quinlan. Machine Learning journal, 1:81-106, 1986.] |
Data Mining Methods for Detection of New Malicious Executables. M. Schultz, E. Eskin, E. Zadok & S. Stolfo. Proc. IEEE Security & Privacy Symp., p38-49, 2001. |
| 3 | Aug 31 & Sep 2 | Fast Effective Rule Induction W. Cohen. Proc. ICML, p115-123, 1995. | Anomaly Detection Learning Rules for Anomaly Detection of Hostile Network Traffic. M. Mahoney & P. Chan. Proc. ICDM, pp. 601-604, 2003. [More details in FIT Tech Report CS-2003-16.] |
| 4 | Sep 7 & 9 | Labor Day holiday | HW 1 demo |
| 5 | Sep 14 & 16 | A comparative study of anomaly detection schemes in network intrusion detection. A. Lazarevic, L. Ertoz, A. Ozgur, J. Srivastava & V. Kumar. Proc. SDM, p25-36, 2003. | An Experimental Comparison of Naive Bayesian and Keyword-Based Anti-Spam Filtering with Personal E-mail Messages. I. Androutsopoulos, J. Koutsias, K. Chandrinos, C. Spyropoulos. Proc SIGIR, pp 160-167, 2000. |
| 6 | Sep 21 & 23 | No class (at NSF) | No class (at NSF) |
| 7 | Sep 28 & 30 | Clustering A Comparison of Document Clustering Techniques. M Steinbach, G Karypis, V Kumar. U. Minnesota Tech Report 00-034, 2000. [shorter version: A Comparison of Document Clustering Techniques. M Steinbach, G Karypis, V Kumar. KDD Workshop on Text Mining, 2000.] |
HW 2 demo |
| 8 | Oct 5 & 7 | A Personalized Search Engine Based on Web-Snippet Hierarchical Clustering. P Ferragina, A Gulli. Proc. WWW, p801-810, 2005. | Adaptive web sites: Conceptual cluster mining. M. Perkowitz & O. Etzioni. Proc. IJCAI, p264-269, 1999. |
| 9 | Oct 12 & 14 | Columbus Day Fall break | A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. M. Ester, H. Kriegel, J. Sander & X. Xu. Proc. KDD, p. 226-231, 1996. |
| 10 | Oct 19 & 21 | Graphs Bridging Centrality: Graph Mining from Element Level to Group Level. W. Hwang, T. Kim, M. Ramanathan and A. Zhang. Proc. KDD, p. 336-344, 2008. |
HW 3 demo |
| 11 | Oct 26 & 28 | The Link Prediction Problem for Social Networks. D. Liben-Nowell & J. Kleinberg. Proc. CIKM, p. 556-559, 2003. | Social Capital in Friendship-Event Networks. L. Licamele and L. Getoor. Proc. ICDM, p. 959-964, 2006. |
| 12 | Nov 2 & 4 | Association Rules from handout--6.1-6.3 [More details in Fast Algorithms for Mining Association Rules. R. Agrawal & R. Srikant. Proc. VLDB, p. 487-499, 1994.] |
Mining Web Logs for Prediction Models in WWW Caching and Prefetching
Q. Yang, H. Zhang & T Li. Proc. KDD, p. 473-478, 2001. |
| 13 | Nov 9 & 11 | HW 4 demo | Veteran's Day holiday |
| 14 | Nov 16 & 18 | HW 4 demo [canceled: Mining frequent spatio-temporal sequential patterns. H. Cao, N. Mamoulis, D. Cheung. Proc. ICDM, p. 82 - 89, 2005.] |
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets. X. Li, J. Han, S. Kim & H. Gonzalez. Proc. SDM, p. 273-284 , 2007. |
| 15 | Nov 23 & 25 | Google News Personalization: Scalable Online Collaborative Filtering. A. Das, M. Datar, A. Garg, S. Rajaram. Proc. WWW, p. 271-280, 2007 | School holiday (Thanksgiving) |
| 16 | Nov 30 & Dec 2 | Term Project presentation and demo | Term Project presentation and demo |
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Resources