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KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 8 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 8 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
14 years 2 months ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
14 years 1 months ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su