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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 6 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 2 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
ASIAMS
2008
IEEE
13 years 7 months ago
A Blended Text Mining Method for Authorship Authentication Analysis
The paper elaborates upon the interim results achieved in resolving a few newly discovered 16th century letters now alleged to be written by Queen Mary of Scots (QMS). Despite the...
Philip Sallis, Subana Shanmuganathan
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 6 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
IJCAI
2003
13 years 7 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer