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» Scalable Parallel Data Mining for Association Rules
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AIA
2007
13 years 9 months ago
Evaluating generalized association rules through objective measures
Generalized association rules are rules that contain some background knowledge, therefore, giving a more general view of the domain. This knowledge is codified by a taxonomy set ...
Veronica Oliveira de Carvalho, Solange Oliveira Re...
VLDB
2005
ACM
125views Database» more  VLDB 2005»
14 years 1 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
IDEAL
2004
Springer
14 years 1 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
DAWAK
2003
Springer
14 years 28 days ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
SEBD
1997
132views Database» more  SEBD 1997»
13 years 9 months ago
Amore: An Integrated Environment for Database Mining
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...