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» Scalability for Clustering Algorithms Revisited
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GECCO
2005
Springer
144views Optimization» more  GECCO 2005»
15 years 3 months ago
Multiobjective hBOA, clustering, and scalability
This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominat...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 2 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
ICDE
2012
IEEE
196views Database» more  ICDE 2012»
12 years 12 months ago
Scalable Multi-query Optimization for SPARQL
Abstract—This paper revisits the classical problem of multiquery optimization in the context of RDF/SPARQL. We show that the techniques developed for relational and semi-structur...
Wangchao Le, Anastasios Kementsietsidis, Songyun D...
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
15 years 3 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 1 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang