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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 4 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
SAC
2010
ACM
14 years 7 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
96
Voted
ADMA
2009
Springer
212views Data Mining» more  ADMA 2009»
15 years 7 months ago
Automating Gene Expression Annotation for Mouse Embryo
It is of high biomedical interest to identify gene interactions and networks that are associated with developmental and physiological functions in the mouse embryo. There are now v...
Liangxiu Han, Jano I. van Hemert, Richard A. Baldo...
124
Voted
WWW
2008
ACM
16 years 1 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang
SSD
2005
Springer
150views Database» more  SSD 2005»
15 years 6 months ago
Opportunistic Data Dissemination in Mobile Peer-to-Peer Networks
In this paper we examine the dissemination of availability reports about resources in mobile peer-to-peer networks, where moving objects communicate with each other via short-range...
A. Prasad Sistla, Ouri Wolfson, Bo Xu