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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
CIKM
2006
Springer
15 years 10 months ago
Multi-evidence, multi-criteria, lazy associative document classification
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
ICSOC
2004
Springer
15 years 11 months ago
Associating assertions with business processes and monitoring their execution
Business processes that span organizational borders describe the interaction between multiple parties working towards a common objective. They also express business rules that gov...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...
JOT
2006
105views more  JOT 2006»
15 years 6 months ago
Improving the Use of Multiplicity in UML Association
Through the incorporation of derived classes and associations in class diagrams, this paper proposes a method to improve the specification power of multiplicity for n-ary associat...
Hee Beng Kuan Tan, Yong Yang, Lei Bian
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...