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SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
14 years 11 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
ICDM
2009
IEEE
168views Data Mining» more  ICDM 2009»
15 years 4 months ago
Bi-relational Network Analysis Using a Fast Random Walk with Restart
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
Jing Xia, Doina Caragea, William H. Hsu
DEBU
2007
109views more  DEBU 2007»
14 years 9 months ago
Managing Uncertainty in Social Networks
Social network analysis (SNA) has become a mature scientific field over the last 50 years and is now an area with massive commercial appeal and renewed research interest. In thi...
Eytan Adar, Christopher Re
RSFDGRC
2011
Springer
255views Data Mining» more  RSFDGRC 2011»
14 years 19 days ago
Construction and Analysis of Web-Based Computer Science Information Networks
WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based co...
Jiawei Han
APCCM
2006
14 years 11 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff