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» Numbers in Multi-relational Data Mining
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
14 years 3 months ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee
VLDB
1997
ACM
175views Database» more  VLDB 1997»
14 years 19 days ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
ICDT
2001
ACM
124views Database» more  ICDT 2001»
14 years 29 days ago
Mining for Empty Rectangles in Large Data Sets
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
Jeff Edmonds, Jarek Gryz, Dongming Liang, Ren&eacu...
VLDB
2004
ACM
115views Database» more  VLDB 2004»
14 years 1 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...