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ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 7 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
124
Voted
ACMSE
2007
ACM
15 years 5 months ago
Enhancing clustering blog documents by utilizing author/reader comments
Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We p...
Beibei Li, Shuting Xu, Jun Zhang
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
15 years 6 months ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
16 years 1 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...
MLDM
2005
Springer
15 years 7 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...