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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 1 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
ISI
2006
Springer
13 years 8 months ago
Analyzing the Terrorist Social Networks with Visualization Tools
Analysis of terrorist social networks is essential for discovering knowledge about the structure of terrorist organizations. Such knowledge is important for developing effective co...
Christopher C. Yang, Nan Liu, Marc Sageman
SNAM
2011
246views more  SNAM 2011»
13 years 3 months ago
Market basket analysis with networks
The field of market basket analysis, the search for meaningful associations in customer purchase data, is one of the oldest areas of data mining. The typical solution involves th...
Troy Raeder, Nitesh V. Chawla
WWW
2011
ACM
13 years 3 months ago
Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitte
There is a widespread intuitive sense that different kinds of information spread differently on-line, but it has been difficult to evaluate this question quantitatively since it ...
Daniel M. Romero, Brendan Meeder, Jon M. Kleinberg
ICWSM
2009
13 years 5 months ago
Event Detection and Tracking in Social Streams
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
Hassan Sayyadi, Matthew Hurst, Alexey Maykov