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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
MONET
2006
141views more  MONET 2006»
14 years 9 months ago
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Ritesh Madan, Sanjay Lall
NAR
2006
108views more  NAR 2006»
14 years 9 months ago
GLIDA: GPCR-ligand database for chemical genomic drug discovery
G-protein coupled receptors (GPCRs) represent one of the most important families of drug targets in pharmaceutical development. GPCR-LIgand DAtabase (GLIDA) is a novel public GPCR...
Yasushi Okuno, Jiyoon Yang, Kei Taneishi, Hiroaki ...