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SIGSOFT
2010
ACM
13 years 5 months ago
Software intelligence: the future of mining software engineering data
Mining software engineering data has emerged as a successful research direction over the past decade. In this position paper, we advocate Software Intelligence (SI) as the future ...
Ahmed E. Hassan, Tao Xie
KDD
2000
ACM
168views Data Mining» more  KDD 2000»
13 years 11 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
13 years 11 months ago
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment
Eficient and efiective discovery of resource and knowledge from the Internet has become an imminent research issue, especially with the advent of the Information Super-Highway. A ...
Osmar R. Zaïane, Jiawei Han
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 8 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 8 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik