An Efficient Algorithm to Automated Discovery of Interesting Positive and Negative Association Rules
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 6
Abstract
Association Rule mining is very efficient technique for finding strong relation between correlated data. The correlation of data gives meaning full extraction process. For the discovering frequent items and the mining of positive rules, a variety of algorithms are used such as Apriori algorithm and tree based algorithm. But these algorithms do not consider negation occurrence of the attribute in them and also these rules are not in infrequent form. The discovery of infrequent itemsets is far more difficult than their counterparts, that is, frequent itemsets. These problems include infrequent itemsets discovery and generation of interest negative association rules, and their huge number as compared with positive association rules. The interesting discovery of association rules is an important and active area within data mining research. In this paper, an efficient algorithm is proposed for discovering interesting positive and negative association rules from frequent and infrequent items. The experimental results show the usefulness and effectiveness of the proposed algorithm.
Authors and Affiliations
Ahmed Abdul-WahabAl-Opahi, Basheer Al-Maqaleh
Keywords
Related Articles
- EP ID EP122226
- DOI 10.14569/IJACSA.2015.060623
- Views 113
- Downloads 0
Application of Relevance Vector Machines in Real Time Intrusion Detection
In the recent years, there has been a growing interest in the development of change detection techniques for the analysis of Intrusion Detection. This interest stems from the wide range of applications in which change de...
A Congestion Avoidance Approach in Jumbo Frame-enabled IP Network
Jumbo frame is as an approach that allows for higher utilization of larger packet sizes on a domain-wise basis, decreasing the number of packets processed by core routers while not having any adverse impact on the...
An Enhanced Method for Detecting the Shaded Images of the Car License Plates based on Histogram Equalization and Probabilities
Shadow is one of the major and significant challenges in detection algorithms which track the objects such as the license plates. The quality of images captured by cameras is influenced by weather conditions, low ambient...
Real Time Analysis of Crowd Behaviour for Automatic and Accurate Surveillance
Surveillance in this modern era is a necessity. Creating an alert in case of emergencies and disturbances is of very much importance. As the number of simultaneous camera feeds increase, burden on human supervisor also i...
Recovering and Tracing Links between Software Codes and Test Codes of the Open Source Projects
One of the most important controversial issues in the design and implementation of software is the functionality of the designed system. With impressive efforts of different software teams in the field of the system, the...