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AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
16 years 14 days ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
VLDB
1998
ACM
142views Database» more  VLDB 1998»
15 years 10 months ago
On the Discovery of Interesting Patterns in Association Rules
Many decision support systems, which utilize association rules for discovering interesting patterns, require the discovery of association rules that vary over time. Such rules des...
Sridhar Ramaswamy, Sameer Mahajan, Abraham Silbers...
IFIP12
2008
15 years 7 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
ECSQARU
2007
Springer
16 years 14 days ago
Algebraic Structures for Bipolar Constraint-Based Reasoning
The representation of both scales of cost and scales of benefit is very natural in a decision-making problem: scales of evaluation of decisions are often bipolar. The aim of this ...
Hélène Fargier, Nic Wilson
RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang