Fuzzy Ontology based Approach for Flexible Association Rules Mining
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 5
Abstract
Data mining is used for extracting related data. The association rules approach is one of the used methods for analyzing, discovering and extracting knowledge and mining the relationships among raw data. Commonly, it is important to understand and discover such knowledge directly from huge records of items stored in a relational database. This paper proposes an approach for generating human-like fuzzy association rules based on fuzzy ontology. It focuses on enhancing the process of extracting association rules from a huge database respecting a predefined domain fuzzy ontology. Commonly, association rules mining based on crisp ontology is found to be more flexible than classical ones as it considers the relationships between concepts or items. Yet, crisp ontology suffers from the problem of information losing resulted from the rigid boundaries of crisp relationships, which are approximated to be 0 or 1, between concepts. In contrast, the smooth boundaries of fuzzy sets make it able to represent partial relationships that range from 0 to 1 between concepts in an ontology in a more flexible human-like manner. Consequently, generating fuzzy association rules based on fuzzy ontology makes it more human-like and reliable compared with other previous ones. An illustrative case study, on two different data sets, shows the added value of the proposed approach compared with some other recent approaches.
Authors and Affiliations
Alsayed M. H. Moawad, Ahmed M. Gadallah, Mohamed H. Kholief
Keywords
Related Articles
- EP ID EP258794
- DOI 10.14569/IJACSA.2017.080541
- Views 87
- Downloads 0
Novel Joint Subcarrier and Power Allocation Method in SWIPT for WSNs Employing OFDM System
In recent research trends, simultaneous wireless information and power transfer (SWIPT) has proved to be an innovative technique to deal with limited energy problems in energy harvesting (EH) technologies for wireless se...
Face Retrieval Based On Local Binary Pattern and Its Variants: A Comprehensive Study
Face retrieval (FR) is one of the specific fields in content-based image retrieval (CBIR). Its aim is to search relevant faces in large database based on the contents of the images rather than the metadata. It has many a...
The cybercrime process : an overview of scientific challenges and methods
The aim of this article is to describe the cybercrime process and to identify all issues that appear at the different steps, between the detection of incident to the final report that must be exploitable for a judge. It...
LNG Import Contract in the perspective of Associated Technical and Managerial Challenges for the Distribution Companies of Pakistan
Energy Managers and Government Office Holders in Pakistan are nowadays pondering over multiple options for the resolution of ongoing Energy crises in the country. LNG (Liquefied Natural Gas) import has been finalized for...
A Hybrid Algorithm based on Invasive Weed Optimization and Particle Swarm Optimization for Global Optimization
In this paper, an effective combination of two Metaheuristic algorithms, namely Invasive Weed Optimization and the Particle Swarm Optimization, has been proposed. This hybridization called as HIWOPSO, consists of two mai...