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» Mining High Utility Itemsets in Big Data
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 27 days ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
ACL
2008
15 years 1 months ago
Mining Wiki Resources for Multilingual Named Entity Recognition
In this paper, we describe a system by which the multilingual characteristics of Wikipedia can be utilized to annotate a large corpus of text with Named Entity Recognition (NER) t...
Alexander E. Richman, Patrick Schone
103
Voted
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
15 years 6 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
120
Voted
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
16 years 27 days ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
WWW
2004
ACM
16 years 1 months ago
OntoMiner: bootstrapping ontologies from overlapping domain specific web sites
In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...