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ESWA
2006
139views more  ESWA 2006»
15 years 6 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
PREMI
2007
Springer
16 years 17 days ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
APCCM
2008
15 years 8 months ago
Differentiating Conceptual Modelling from Data Modelling, Knowledge Modelling and Ontology Modelling and a Notation for Ontology
This paper considers conceptual modelling for three purposes namely data modelling, knowledge modelling and ontology modelling. It differentiates between the nature of the concept...
Tharam S. Dillon, Elizabeth Chang, Maja Hadzic, Po...
UM
2007
Springer
16 years 17 days ago
Eliciting Adaptation Knowledge from On-Line Tutors to Increase Motivation
In the classroom, teachers know how to motivate their students and how to exploit this knowledge to adapt or optimize their instruction when a student shows signs of demotivation. ...
Teresa Hurley, Stephan Weibelzahl
LAWEB
2003
IEEE
15 years 11 months ago
Extracting Knowledge from Association Relationships to Build Navigational Models
This paper analyzes how the semantics of association relationships in OO conceptual modeling can help to build Navigational Models for Web Applications. The work has been develope...
Manoli Albert, Vicente Pelechano, Joan Fons, Gonza...