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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
16 years 4 days ago
Association Analysis with One Scan of Databases
Mining frequent patterns with an FP-tree avoids costly candidate generation and repeatedly occurrence frequency checking against the support threshold. It therefore achieves bette...
Hao Huang, Xindong Wu, Richard Relue
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
DBPL
1989
Springer
165views Database» more  DBPL 1989»
15 years 11 months ago
Support for Data-Intensive Applications: Conceptual Design and Software Development
In the process of developing an Information System, one passes through stages that include requirements gathering, design specification, and software implementation. The purpose ...
Alexander Borgida, John Mylopoulos, Joachim W. Sch...
SIGMOD
2010
ACM
250views Database» more  SIGMOD 2010»
15 years 7 months ago
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
Jeffrey Pound, Ihab F. Ilyas, Grant E. Weddell
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
16 years 7 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb