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» Generating non-redundant association rules
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KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 1 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
78
Voted
CEC
2010
IEEE
14 years 9 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...
JDCTA
2008
107views more  JDCTA 2008»
14 years 9 months ago
A Rule Set Generation Technique for Better Decision Making
A rule set generation technique based on a generated decision tree is suggested for better decision making to compensate the weak point of decision trees
Hyontai Sug
KAIS
2006
172views more  KAIS 2006»
14 years 9 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...
CEC
2007
IEEE
15 years 1 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...