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IDEAL
2003
Springer
14 years 3 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
14 years 3 months ago
Search Experiment of Business-Rule by Dynamic Constraint Algebra
Abstract Although e-commerce is becoming popular, product rules, which describe various conditions such as prices, applicability, and discount conditions are still expressed in nat...
Rui Kimura, Takayuki Shiga, Mizuho Iwaihara
ACSW
2004
13 years 11 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
AGILEDC
2004
IEEE
14 years 1 months ago
Behind the Rules: XP Experiences
Agile processes such as XP (eXtreme Programming) have been recognised for their potential benefits of improving software. During adoption of the XP process, teams can misapply the...
Andrew Jackson, Shiu Lun Tsang, Alan Gray, Cormac ...
DEXAW
2000
IEEE
112views Database» more  DEXAW 2000»
14 years 2 months ago
An Experiment in Discovering Association Rules in the Legal Domain
In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case ba...
Trevor J. M. Bench-Capon, Frans Coenen, Paul H. Le...