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142
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DILS
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Transparent information integration across distributed and heterogeneous data sources and computational tools is a prime concern for bioinformatics. Recently, there have ...
134
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GECCO
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
147
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SBACPAD
2003
IEEE
15 years 8 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
124
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ITNG
2010
IEEE
15 years 8 months ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
130
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WEBDB
2010
Springer
15 years 8 months ago
2010
Springer
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...