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131
Voted
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 1 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
118
Voted
KDD
2007
ACM
153views Data Mining» more  KDD 2007»
16 years 1 months ago
Exploiting duality in summarization with deterministic guarantees
Summarization is an important task in data mining. A major challenge over the past years has been the efficient construction of fixed-space synopses that provide a deterministic q...
Panagiotis Karras, Dimitris Sacharidis, Nikos Mamo...
78
Voted
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
16 years 1 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
102
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 1 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 28 days ago
Estimating the confidence of conditional functional dependencies
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
Graham Cormode, Lukasz Golab, Flip Korn, Andrew Mc...