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» Closed Set Mining of Biological Data
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KDD
2002
ACM
146views Data Mining» more  KDD 2002»
14 years 5 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 5 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
KDD
2003
ACM
145views Data Mining» more  KDD 2003»
14 years 5 months ago
Carpenter: finding closed patterns in long biological datasets
The growth of bioinformatics has resulted in datasets with new characteristics. These datasets typically contain a large number of columns and a small number of rows. For example,...
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang...
PAKDD
2010
ACM
215views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Mining Closed Episodes from Event Sequences Efficiently
Recent studies have proposed different methods for mining frequent episodes. In this work, we study the problem of mining closed episodes based on minimal occurrences. We study the...
Wenzhi Zhou, Hongyan Liu, Hong Cheng
IJCAI
2007
13 years 6 months ago
On Mining Closed Sets in Multi-Relational Data
We investigate the problem of mining closed sets in multi-relational databases. Previous work introduced different semantics and associated algorithms for mining closed sets in mu...
Gemma C. Garriga, Roni Khardon, Luc De Raedt