Detecting research topics via the correlation between graphs and texts

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2007, Pages 370-379

  Jo, Yookyung ^a   Lagoze, Carl ^b   Giles, C Lee ^c  

^a Cornell University ^*  (United States)

^b Department of Molecular Biology and Genetics   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Citation graphs; Correlation of text and links; Graph mining; Probabilistic measure; Topic detection

Indexed keywords

CITATION GRAPHS; CORRELATION OF TEXT AND LINKS; GRAPH MINING; PROBABILISTIC MEASURE; TOPIC DETECTION;

CORRELATION METHODS; DATA REDUCTION; INFORMATION RETRIEVAL SYSTEMS; MATHEMATICAL MODELS; PROBABILITY;

PROBLEM SOLVING;

EID: 36849020034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1281192.1281234     Document Type: Conference Paper

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