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ORCIDSIGKDD Explorations, Volume 4
Volume 4, Number 1, June 2002
- Rob Potharst, A. J. Feelders:
Classification trees for problems with monotonicity constraints. 1-10 - Shivnath Babu, Minos N. Garofalakis, Rajeev Rastogi:
SPARTAN: using constrained models for guaranteed-error semantic compression. 11-20 - Xintao Wu, Daniel Barbará:
Learning missing values from summary constraints. 21-30 - Jian Pei, Jiawei Han:
Constrained frequent pattern mining: a pattern-growth view. 31-39 - Carson Kai-Sang Leung
, Laks V. S. Lakshmanan, Raymond T. Ng:
Exploiting succinct constraints using FP-trees. 40-49 - 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 - Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein:
Discovery in multi-attribute data with user-defined constraints. 56-64 - Vladimir Estivill-Castro:
Why so many clustering algorithms: a position paper. 65-75
Volume 4, Number 2, December 2002
- Bhavani Thuraisingham:
Data Mining, National Security, Privacy and Civil Liberties. 1-5 - Csilla Farkas, Sushil Jajodia:
The Inference Problem: A Survey. 6-11 - Benny Pinkas:
Cryptographic Techniques for Privacy-Preserving Data Mining. 12-19 - Martin S. Olivier:
Database Privacy. 20-27 - Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu:
Tools for Privacy Preserving Data Mining. 28-34 - Wenke Lee:
Applying Data Mining to Intrusion Detection: The Quest for Automation, Efficiency, and Credibility. 35-42 - Alexandre V. Evfimievski:
Randomization in Privacy-Preserving Data Mining. 43-48
- Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara:
A Survey on Wavelet Applications in Data Mining. 49-68 - Luc De Raedt:
A Perspective on Inductive Databases. 69-77 - Victor S. Y. Lo:
The True Lift Model - A Novel Data Mining Approach to Response Modeling in Database Marketing. 78-86
- Alexander S. Yeh, Lynette Hirschman, Alexander A. Morgan:
Background and Overview for KDD Cup 2002 Task 1: Information Extraction from Biomedical Articles. 87-89 - Yizhar Regev, Michal Finkelstein-Landau, Ronen Feldman:
Rule-based Extraction of Experimental Evidence in the Biomedical Domain - the Kdd Cup (Task 1). 90-92 - 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 - Moustafa Ghanem, Yike Guo, Huma Lodhi, Yong Zhang:
Automatic Scientific Text Classification Using Local Patterns: KDD Cup 2002 (Task 1). 95-96 - Mark Craven:
The Genomics of a Signaling Pathway: A KDD Cup Challenge Task. 97-98 - Adam Kowalczyk, Bhavani Raskutti:
One Class SVM for Yeast Regulation Prediction. 99-100 - David S. Vogel, Randy C. Axelrod:
Predicting the Effects of Gene Deletion. 101-103 - 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 - George Forman:
Feature Engineering for a Gene Regulation Prediction Task. 106-107 - Amal Perera, Anne Denton, Pratap Kotala, William Jockheck, Willy Valdivia Granda, William Perrizo:
P-tree Classification of Yeast Gene Deletion Data. 108-109 - Mihael Ankerst:
Report on the SIGKDD-2002 Panel The Perfect Data Mining Tool: Interactive or Automated. 110-111 - Mohammed Javeed Zaki, Jason Tsong-Li Wang, Hannu Toivonen:
BIOKDD 2002: Recent Advanced in Data Minig for Bioinformatics. 112-114 - Jafar Adibi, Christos Faloutsos:
KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches. 115-117 - Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane:
MDM/KDD 2002: Multimedia Data Mining between Promises and Problems. 118-121 - Saso Dzeroski, Luc De Raedt:
Multi-Relational Data Mining: a Workshop Report. 122-124 - Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaïane:
WEBKDD 2002 - Web Mining for Usage Patterns & Profiles. 125
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