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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
103
Voted
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
15 years 10 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
64
Voted
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
15 years 10 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
172
Voted
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
15 years 10 months ago
QoX-driven ETL design: reducing the cost of ETL consulting engagements
As business intelligence becomes increasingly essential for organizations and as it evolves from strategic to operational, the complexity of Extract-Transform-Load (ETL) processes...
Alkis Simitsis, Kevin Wilkinson, Malú Caste...
SIGMOD
2009
ACM
214views Database» more  SIGMOD 2009»
15 years 10 months ago
DDE: from dewey to a fully dynamic XML labeling scheme
Labeling schemes lie at the core of query processing for many XML database management systems. Designing labeling schemes for dynamic XML documents is an important problem that ha...
Liang Xu, Tok Wang Ling, Huayu Wu, Zhifeng Bao