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KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
Scalable discovery of hidden emails from large folders
The popularity of email has triggered researchers to look for ways to help users better organize the enormous amount of information stored in their email folders. One challenge th...
Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou
DAWAK
2008
Springer
13 years 9 months ago
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
Liqiang Geng, Hao Wang, Xin Wang, Larry Korba
AMTA
2004
Springer
14 years 27 days ago
A Structurally Diverse Minimal Corpus for Eliciting Structural Mappings Between Languages
Abstract. We describe an approach to creating a small but diverse corpus in English that can be used to elicit information about any target language. The focus of the corpus is on ...
Katharina Probst, Alon Lavie
WWW
2006
ACM
14 years 8 months ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 1 months ago
Temporal Analysis of Semantic Graphs Using ASALSAN
ASALSAN is a new algorithm for computing three-way DEDICOM, which is a linear algebra model for analyzing intrinsically asymmetric relationships, such as trade among nations or th...
Brett W. Bader, Richard A. Harshman, Tamara G. Kol...