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DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
15 years 10 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 7 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 10 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
16 years 7 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
ER
2005
Springer
136views Database» more  ER 2005»
16 years 4 days ago
A Semantic Approach to Query Rewriting for Integrated XML Data
Query rewriting is a fundamental task in query optimization and data integration. With the advent of the web, there has been renewed interest in data integration, where data is dis...
Xia Yang, Mong-Li Lee, Tok Wang Ling, Gillian Dobb...