Results 21 to 30 of about 789,997 (243)

A Sensitivity Analysis for Quality Measures of Quantitative Association Rules [PDF]

open access: yes, 2013
There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery of association rules. Nevertheless, some differences in the measures used to assess the quality of association rules could be ...
B. Alatas   +7 more
core   +1 more source

Discovering gene association networks by multi-objective evolutionary quantitative association rules [PDF]

open access: yes, 2014
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the expression of thousands of genes simultaneously.
Martínez Ballesteros, María del Mar   +2 more
core   +1 more source

WOUND UP MALAYSIAN COMPANIES' PATTERN EXPLORATION USING DATA MINING METHODS

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2015
A company is wound up when the company is unable to pay financial debts or is experiencing serious financial distress. From the year 1998 until 2003, an average of 1166 companies were wound up yearly. This research focuses on the knowledge exploration of
Suhaila Zainudin   +3 more
doaj   +1 more source

Analysis of Measures of Quantitative Association Rules [PDF]

open access: yes, 2011
This paper presents the analysis of relationships among different interestingness measures of quality of association rules as first step to select the best objectives in order to develop a multi-objective algorithm.
Martínez Ballesteros, María del Mar   +1 more
core   +1 more source

Annotating Argument Schemes [PDF]

open access: yes, 2021
Argument schemes are abstractions substantiating the inferential connection between premise(s) and conclusion in argumentative communication. Identifying such conventional patterns of reasoning is essential to the interpretation and evaluation of ...
Lawrence, John   +4 more
core   +5 more sources

Improving a multi-objective evolutionary algorithm to discover quantitative association rules [PDF]

open access: yes, 2015
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association rules, specifically those based on the wellknown non-dominated sorting genetic algorithm-II (NSGA-II).
Martínez Ballesteros, María del Mar   +3 more
core   +1 more source

Design and Implementation of a Generator of Large , Dense ,or Sparse Databases to Test Association Rules Miner

open access: yesIraqi Journal for Computers and Informatics, 2002
Association rules discovery has emerged as a very important problem in knowledge discovery in database and data mining. A number of algorithms is presented to mine association rules.
Hussien Al-Khafaji   +2 more
doaj   +1 more source

Inferring Gene-Gene Associations from Quantitative Association Rules [PDF]

open access: yes, 2011
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The interest in this technique has grown exponentially in recent years and the difficulties in analyzing data from such experiments ...
Martínez Ballesteros, María del Mar   +2 more
core   +1 more source

Detection of Fuzzy Association Rules by Fuzzy Transforms

open access: yesAdvances in Fuzzy Systems, 2012
We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to ...
Ferdinando Di Martino, Salvatore Sessa
doaj   +1 more source

An evolutionary algorithm to discover quantitative association rules in multidimensional time series [PDF]

open access: yes, 2011
An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is presented in this work. The proposed model to discover these relationships is based on quantitative association rules.
Martínez Ballesteros, María del Mar   +3 more
core   +1 more source

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