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KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 6 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 6 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 6 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 6 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 6 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
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