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» Mining Quantitative Associations in Large Database
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ICDE
2012
IEEE
212views Database» more  ICDE 2012»
12 years 9 days ago
Attribute-Based Subsequence Matching and Mining
—Sequence analysis is very important in our daily life. Typically, each sequence is associated with an ordered list of elements. For example, in a movie rental application, a cus...
Yu Peng, Raymond Chi-Wing Wong, Liangliang Ye, Phi...
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
14 years 3 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti
ICDE
2007
IEEE
162views Database» more  ICDE 2007»
14 years 11 months ago
On Density Based Transforms for Uncertain Data Mining
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
Charu C. Aggarwal
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 11 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel