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KDD
2008
ACM
117views Data Mining» more  KDD 2008»
14 years 8 months ago
Relational learning via collective matrix factorization
Ajit Paul Singh, Geoffrey J. Gordon
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 12 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
AIIA
2003
Springer
14 years 28 days ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
FLAIRS
2003
13 years 9 months ago
Logical Identities Applied to Knowledge Discovery in Databases
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
CICLING
2007
Springer
13 years 11 months ago
Rule-Based Protein Term Identification with Help from Automatic Species Tagging
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
Xinglong Wang