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» Statistical Relational Learning for Document Mining
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SAC
2009
ACM
14 years 17 days ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
IMCSIT
2010
13 years 3 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
14 years 6 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 3 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
EMNLP
2007
13 years 7 months ago
Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
The technology of opinion extraction allows users to retrieve and analyze people’s opinions scattered over Web documents. We define an opinion unit as a quadruple consisting of...
Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto