SIGKDD Explorations, Volume 4

Volume 4, Number 1, June 2002

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

Volume 4, Number 2, December 2002

• Bhavani M. Thuraisingham:
  Data Mining, National Security, Privacy and Civil Liberties. 1-5
  Electronic Edition (ACM DL) BibTeX
• Csilla Farkas, Sushil Jajodia:
  The Inference Problem: A Survey. 6-11
  Electronic Edition (ACM DL) BibTeX
• Benny Pinkas:
  Cryptographic Techniques for Privacy-Preserving Data Mining. 12-19
  Electronic Edition (ACM DL) BibTeX
• Martin S. Olivier:
  Database Privacy. 20-27
  Electronic Edition (ACM DL) BibTeX
• Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu:
  Tools for Privacy Preserving Data Mining. 28-34
  Electronic Edition (ACM DL) BibTeX
• Wenke Lee:
  Applying Data Mining to Intrusion Detection: The Quest for Automation, Efficiency, and Credibility. 35-42
  Electronic Edition (ACM DL) BibTeX
• Alexandre V. Evfimievski:
  Randomization in Privacy-Preserving Data Mining. 43-48
  Electronic Edition (ACM DL) BibTeX

• Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara:
  A Survey on Wavelet Applications in Data Mining. 49-68
  Electronic Edition (ACM DL) BibTeX
• Luc De Raedt:
  A Perspective on Inductive Databases. 69-77
  Electronic Edition (ACM DL) BibTeX
• Victor S. Y. Lo:
  The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing. 78-86
  Electronic Edition (ACM DL) BibTeX

• Alexander S. Yeh, Lynette Hirschman, Alexander A. Morgan:
  Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles. 87-89
  Electronic Edition (ACM DL) BibTeX
• Yizhar Regev, Michal Finkelstein-Landau, Ronen Feldman:
  Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the Kdd Cup (Task 1). 90-92
  Electronic Edition (ACM DL) BibTeX
• S. 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). 93-94
  Electronic Edition (ACM DL) BibTeX
• Moustafa Ghanem, Yike Guo, Huma Lodhi, Yong Zhang:
  Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1). 95-96
  Electronic Edition (ACM DL) BibTeX
• Mark Craven:
  The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. 97-98
  Electronic Edition (ACM DL) BibTeX
• Adam Kowalczyk, Bhavani Raskutti:
  One Class SVM for Yeast Regulation Prediction. 99-100
  Electronic Edition (ACM DL) BibTeX
• David S. Vogel, Randy C. Axelrod:
  Predicting the Effects of Gene Deletion. 101-103
  Electronic Edition (ACM DL) BibTeX
• Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer:
  Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study. 104-105
  Electronic Edition (ACM DL) BibTeX
• George Forman:
  Feature Engineering for a Gene Regulation Prediction Task. 106-107
  Electronic Edition (ACM DL) BibTeX
• Amal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo:
  P-tree Classification of Yeast Gene Deletion Data. 108-109
  Electronic Edition (ACM DL) BibTeX
• Mihael Ankerst:
  Report on the SIGKDD-2002 Panel The Perfect Data Mining Tool: Interactive or Automated. 110-111
  Electronic Edition (ACM DL) BibTeX
• Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
  BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics. 112-114
  Electronic Edition (ACM DL) BibTeX
• Jafar Adibi, Christos Faloutsos:
  KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches. 115-117
  Electronic Edition (ACM DL) BibTeX
• Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane:
  MDM/KDD 2002: Multimedia Data Mining between Promises and Problems. 118-121
  Electronic Edition (ACM DL) BibTeX
• Saso Dzeroski, Luc De Raedt:
  Multi-Relational Data Mining: a Workshop Report. 122-124
  Electronic Edition (ACM DL) BibTeX
• Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaïane:
  WEBKDD 2002 - Web Mining for Usage Patterns & Profiles. 125
  Electronic Edition (ACM DL) BibTeX