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» Introduction to Data Mining and Knowledge Discovery
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KDD
1999
ACM
145views Data Mining» more  KDD 1999»
15 years 2 months ago
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak I...
KDD
1994
ACM
96views Data Mining» more  KDD 1994»
15 years 2 months ago
DICE: A Discovery Environment Integrating Inductive Bias
: Most of Knowledge Discovery in Database (KDD) systems are integrating efficient Machine Learning techniques. In fact issues in Machine Learning and KDD are very close allowing fo...
Jean-Daniel Zucker, Vincent Corruble, J. Thomas, G...
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
15 years 1 months ago
Discovery and Maintenance of Functional Dependencies by Independencies
For semantic query optimization one needs detailed knowledgeabout the contents of the database. Traditional techniquesuse static knowledgeabout all possible states of the database...
Siegfried Bell
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
14 years 8 months ago
Towards Community Discovery in Signed Collaborative Interaction Networks
Abstract--We propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic...
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Sing...
SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 1 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han