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» CURE: An Efficient Clustering Algorithm for Large Databases
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224
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ICDE
2002
IEEE
104views Database» more  ICDE 2002»
16 years 5 months ago
Efficient Evaluation of Queries with Mining Predicates
Modern relational database systems are beginning to support ad hoc queries on mining models. In this paper, we explore novel techniques for optimizing queries that apply mining mo...
Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sara...
137
Voted
EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 3 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
146
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ICS
2010
Tsinghua U.
15 years 6 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
126
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WABI
2009
Springer
102views Bioinformatics» more  WABI 2009»
15 years 10 months ago
A Tree Based Method for the Rapid Screening of Chemical Fingerprints
Background: The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fin...
Thomas G. Kristensen, Jesper Nielsen, Christian N....
133
Voted
DASFAA
2005
IEEE
137views Database» more  DASFAA 2005»
15 years 9 months ago
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
Daxin Jiang, Jian Pei, Aidong Zhang