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» On Mining Group Patterns of Mobile Users
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RSFDGRC
2005
Springer
112views Data Mining» more  RSFDGRC 2005»
14 years 26 days ago
Discovering Characteristic Individual Accessing Behaviors in Web Environment
Abstract. Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper,...
Long Wang 0002, Christoph Meinel, Chunnian Liu
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 20 days ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
IFIP12
2007
13 years 8 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
14 years 1 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
TWC
2008
153views more  TWC 2008»
13 years 7 months ago
Improved Resource Management through User Aggregation in Heterogeneous Multiple Access Wireless Networks
Abstract--In this letter we discuss the exploitation of aggregated mobility patterns in mobile networks including heterogeneous multiple access techniques. We advocate the use of k...
Leonardo Badia, Nicola Bui, Marco Miozzo, Michele ...