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147
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SIGKDD
2008
113views more  SIGKDD 2008»
15 years 3 months ago
On exploiting the power of time in data mining
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
Mirko Böttcher, Frank Höppner, Myra Spil...
125
Voted
SAC
2004
ACM
15 years 9 months ago
Classifying biological articles using web resources
Text classification systems on biomedical literature aim to select relevant articles to a specific issue from large corpora. Most systems with an acceptable accuracy are based o...
Francisco M. Couto, Bruno Martins, Mário J....
160
Voted
SIGKDD
2010
126views more  SIGKDD 2010»
14 years 10 months ago
MultiClust 2010: discovering, summarizing and using multiple clusterings
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy
161
Voted
DASFAA
2007
IEEE
183views Database» more  DASFAA 2007»
15 years 10 months ago
BioDIFF: An Effective Fast Change Detection Algorithm for Biological Annotations
Abstract. Warehousing heterogeneous, dynamic biological data is a key technique for biological data integration as it greatly improves performance. However, it requires complex mai...
Yang Song, Sourav S. Bhowmick, C. Forbes Dewey
100
Voted
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
15 years 10 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many dif...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo