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» Approximation algorithms for projective clustering
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122
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KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 4 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
130
Voted
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
15 years 6 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
113
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 20 days ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
118
Voted
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 4 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
101
Voted
MM
2004
ACM
99views Multimedia» more  MM 2004»
15 years 6 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...