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119
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CIDM
2007
IEEE
15 years 27 days ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar
APCHI
2004
IEEE
15 years 4 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
110
Voted
TIME
2008
IEEE
15 years 7 months ago
Time Aware Mining of Itemsets
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
Bashar Saleh, Florent Masseglia
114
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CBMS
2007
IEEE
15 years 7 months ago
A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...
WEBDB
2000
Springer
110views Database» more  WEBDB 2000»
15 years 4 months ago
Modeling Data Entry and Operations in WebML
Web Modeling Language (WebML, http://webml.org) is a notation for visually specifying complex Web sites at the conceptual level. All the concepts of WebML are specified both graph...
Aldo Bongio, Stefano Ceri, Piero Fraternali, Andre...