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AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
15 years 6 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
DOLAP
2003
ACM
15 years 9 months ago
Hierarchical dwarfs for the rollup cube
The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compress...
Yannis Sismanis, Antonios Deligiannakis, Yannis Ko...
128
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KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 4 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
127
Voted
ICDM
2006
IEEE
124views Data Mining» more  ICDM 2006»
15 years 10 months ago
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering
Technologies that use the Internet network to deliver voice communications have the potential to reduce costs and improve access to communications services around the world. Howev...
Olivier Verscheure, Michail Vlachos, Aris Anagnost...
IJBIDM
2010
111views more  IJBIDM 2010»
15 years 2 months ago
Context-aware taxi demand hotspots prediction
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
Han-Wen Chang, Yu-chin Tai, Jane Yung-jen Hsu