The full text of this article
A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases
by Harihar Kalia; Satchidananda Dehuri; Ashish Ghosh
International Journal of Information Technology, Communications and Convergence (IJITCC), Vol. 3, No. 1, 2014
Abstract: In this paper, we present a comprehensive survey on the multi-objective genetic-fuzzy approaches used in rule mining. While making this rigorous survey, we reveal that classification, association, and associative classification (integration of classification and association) rule mining are popularly used rule mining techniques in knowledge discovery in databases (KDD) for harvesting knowledge in the form of rule. The classical rule mining techniques based on crisp sets have bad experiences of 'sharp boundary problems' while mining rule from numerical data. Fuzzy rule mining approaches eliminate these problems and generate more human understandable rules. Several quality measures are used in quantifying the quality of these discovered rules. However, most of these objectives/criteria are in conflict with each other. Thus, fuzzy rule mining problems are modelled as multi-objective optimisation problem rather than single objective. Due to the ability of finding diverse trade-off solutions for several objectives in a single run, multi-objective genetic algorithms are popularly employed in rule mining. Additionally, our survey highlights some popular state-of-the-art application areas of these approaches. Some future researches are given with an extensive list of relevant reference to make this area vibrant and active.
Online publication date: Fri, 05-Sep-2014
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information Technology, Communications and Convergence (IJITCC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org