Journal: SIGKDD Explorations

Volume 4, Issue 2

1 -- 5Bhavani M. Thuraisingham. Data Mining, National Security, Privacy and Civil Liberties
6 -- 11Csilla Farkas, Sushil Jajodia. The Inference Problem: A Survey
12 -- 19Benny Pinkas. Cryptographic Techniques for Privacy-Preserving Data Mining
20 -- 27Martin S. Olivier. Database Privacy
28 -- 34Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu. Tools for Privacy Preserving Data Mining
35 -- 42Wenke Lee. Applying Data Mining to Intrusion Detection: The Quest for Automation, Efficiency, and Credibility
43 -- 48Alexandre V. Evfimievski. Randomization in Privacy-Preserving Data Mining
49 -- 68Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara. A Survey on Wavelet Applications in Data Mining
69 -- 77Luc De Raedt. A Perspective on Inductive Databases
78 -- 86Victor S. Y. Lo. The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing
87 -- 89Alexander S. Yeh, Lynette Hirschman, Alexander A. Morgan. Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles
90 -- 92Yizhar Regev, Michal Finkelstein-Landau, Ronen Feldman. Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the Kdd Cup (Task 1)
93 -- 94S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh. A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1)
95 -- 96Moustafa Ghanem, Yike Guo, Huma Lodhi, Yong Zhang. Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1)
97 -- 98Mark Craven. The Genomics of a Signaling Pathway: A KDD Cup Challenge Task
99 -- 100Adam Kowalczyk, Bhavani Raskutti. One Class SVM for Yeast Regulation Prediction
101 -- 103David S. Vogel, Randy C. Axelrod. Predicting the Effects of Gene Deletion
104 -- 105Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer. Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
106 -- 107George Forman. Feature Engineering for a Gene Regulation Prediction Task
108 -- 109Amal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo. P-tree Classification of Yeast Gene Deletion Data
110 -- 111Mihael Ankerst. Report on the SIGKDD-2002 Panel The Perfect Data Mining Tool: Interactive or Automated
112 -- 114Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen. BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics
115 -- 117Jafar Adibi, Christos Faloutsos. KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches
118 -- 121Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane. MDM/KDD 2002: Multimedia Data Mining between Promises and Problems
122 -- 124Saso Dzeroski, Luc De Raedt. Multi-Relational Data Mining: a Workshop Report
125 -- 0Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaïane. WEBKDD 2002 - Web Mining for Usage Patterns & Profiles

Volume 4, Issue 1

1 -- 10Rob Potharst, A. J. Feelders. Classification trees for problems with monotonicity constraints
11 -- 20Shivnath Babu, Minos N. Garofalakis, Rajeev Rastogi. ::::SPARTAN::::: using constrained models for guaranteed-error semantic compression
21 -- 30Xintao Wu, Daniel Barbará. Learning missing values from summary constraints
31 -- 39Jian Pei, Jiawei Han. Constrained frequent pattern mining: a pattern-growth view
40 -- 49Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng. Exploiting succinct constraints using FP-trees
50 -- 55Jochen Hipp, Ulrich Güntzer. Is pushing constraints deeply into the mining algorithms really what we want?: an alternative approach for association rule mining
56 -- 64Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein. Discovery in multi-attribute data with user-defined constraints
65 -- 75Vladimir Estivill-Castro. Why so many clustering algorithms: a position paper