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» Mining interesting sets and rules in relational databases
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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 3 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
14 years 29 days ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
SSDBM
2009
IEEE
77views Database» more  SSDBM 2009»
14 years 3 months ago
Query Recommendations for Interactive Database Exploration
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...
Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis P...
VLDB
1991
ACM
171views Database» more  VLDB 1991»
14 years 17 days ago
Language Constructs for Programming Active Databases
: This paper presents database programming language constructs that. can be used to realize a variety of different semantics for rule application in active database syst.ems. The p...
Richard Hull, Dean Jacobs
CAINE
2008
13 years 10 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang