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» Tracking Communities in Dynamic Social Networks
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RECSYS
2009
ACM
14 years 1 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 7 months ago
GraphScope: parameter-free mining of large time-evolving graphs
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
Jimeng Sun, Christos Faloutsos, Spiros Papadimitri...
SEMCO
2007
IEEE
14 years 1 months ago
Lexical and Discourse Analysis of Online Chat Dialog
One of the ultimate goals of natural language processing (NLP) systems is understanding the meaning of what is being transmitted, irrespective of the medium (e.g., written versus ...
Eric N. Forsythand, Craig H. Martell
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
AC
2007
Springer
13 years 7 months ago
Free/Open Source Software Development: Recent Research Results and Methods
The focus of this chapter is to review what is known about free and open source software development (FOSSD) work practices, development processes, project and community dynamics,...
Walt Scacchi