Volume 4,
Number 1,
June 2002
Constraints in data mining
- 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
Privacy and Security
Contributed Articles
Reports from KDD-2002
- 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
Copyright © Fri Mar 12 17:32:19 2010
by Michael Ley (ley@uni-trier.de)