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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 10 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...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 3 months ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook
ADAPTIVE
2007
Springer
14 years 4 months ago
Data Mining for Web Personalization
Abstract. In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data minin...
Bamshad Mobasher
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
14 years 10 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
ICC
1997
IEEE
133views Communications» more  ICC 1997»
14 years 2 months ago
MESH: Distributed Error Recovery for Multimedia Streams in Wide-Area Multicast Networks
This paper addresses support for nzulti-party multimedia applications delivered across datagram wide-area networks such as the Internet. Our approach is to develop a novel retrans...
Matthew T. Lucas, Bert J. Dempsey, Alfred C. Weave...