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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 3 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
ESWA
2007
127views more  ESWA 2007»
14 years 9 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
LPNMR
2011
Springer
14 years 20 days ago
Integrating Rules and Ontologies in the First-Order Stable Model Semantics (Preliminary Report)
We present an approach to integrating rules and ontologies on the basis of the first-order stable model semantics defined by Ferraris, Lee and Lifschitz. We show that a few exist...
Joohyung Lee, Ravi Palla
ICSEA
2009
IEEE
15 years 4 months ago
Rule-Based Service Modeling
— In the context of service-oriented computing, services provide the capabilities necessary to support the business, especially its processes. Within the service modeling process...
Michael Gebhart, Sebastian Abeck
CPAIOR
2009
Springer
15 years 4 months ago
Modelling Search Strategies in Rules2CP
In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modell...
François Fages, Julien Martin