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BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
15 years 10 months ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
DASFAA
2008
IEEE
109views Database» more  DASFAA 2008»
15 years 10 months ago
Discovering Spatial Interaction Patterns
Abstract. Advances in sensing and satellite technologies and the growth of Internet have resulted in the easy accessibility of vast amount of spatial data. Extracting useful knowle...
Chang Sheng, Wynne Hsu, Mong Lee, Anthony K. H. Tu...
DATAMINE
2006
142views more  DATAMINE 2006»
15 years 3 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
CSCLP
2008
Springer
15 years 5 months ago
From Rules to Constraint Programs with the Rules2CP Modelling Language
In this paper, we present a rule-based modelling language for constraint programming, called Rules2CP. Unlike other modelling languages, Rules2CP adopts a single knowledge represen...
François Fages, Julien Martin
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
15 years 1 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar