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» Mining Views: Database Views for Data Mining
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194
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CBMS
2005
IEEE
16 years 20 days ago
An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis
The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
Haiying Wang, Francisco Azuaje, Olivier Bodenreide...
312
Voted
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
16 years 8 months ago
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can not be modeled adequately with Poisson arrivals[9]. However, we do want to model...
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou...
181
Voted
SIGMOD
1997
ACM
85views Database» more  SIGMOD 1997»
15 years 11 months ago
Supporting Multiple View Maintenance Policies
Materialized views and view maintenance are becoming increasingly important in practice. In order to satisfy different data currency and performance requirements, a number of view...
Latha S. Colby, Akira Kawaguchi, Daniel F. Lieuwen...
164
Voted
ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
16 years 19 days ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...
199
Voted
DAWAK
2004
Springer
15 years 10 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin