A Perspective on Boolean Matrix for Mining Hybrid Dimensional Association Rules

Abstract

The discovery of association rules in data mining is an important issue, the core of which is the frequent pattern mining, Apriori algorithm is traditional for the association rule mining, but it should repetitively scan the database and can produce number of candidates. We present an algorithm of mining hybrid dimension association rules which satisfies the definite condition on the basis of multidimensional transaction database. Boolean Matrix based approach has been employed to generate frequent item sets in multidimensional transaction databases. When using this algorithm first time, it scans the database once and will produce the association rules. Apriori property is used in algorithm to prune the item sets. It is not needed to scan the database again; it uses Boolean logical operations to generate the association rules. It is going to store data in the form of bits, so it needs less memory space.

Authors and Affiliations

Chaitanya B. Pednekar, R. C. Suryawanshi

Keywords

Related Articles

Performance Analysis of Image Segmentation Using Parallel Processing

This paper presents a study on Fuzzy C Means (FCM) based segmentation technique via different modes over a number of images. This research work includes development of simulation models in both sequential and parallel mo...

Measurement and Implementation of Patient Satisfaction in the Healthcare Industry: Part 2

Increasingly knowledgeable consumers, with rising demands to have information available for them to make appropriate health care decisions, have driven healthcare managers and administrators to focus on an improvement of...

Ethylene Glycol: Kinetics of the Formation from Methanol–Formaldehyde Solutions

The mechanism and kinetics are developed for the initiated nonbranched-chain formation of ethylene glycol in methanol–formaldehyde solutions at formaldehyde concentrations of 0.1–3.1 mol dm–3 and temperatures of 373–473...

Laboratory Review for Stabilization of Soil in Kashmir VALLEY by Using Surkhi and Ceramic Tile Waste

Clay soil has been identified as a concern all around the world due to its swelling and shrinking qualities when it comes into touch with water. The load characteristics of soil are particularly low due to this clay feat...

An Analysis of Bioactive Components of Tea

Tea (both dark and green tea) is one of the most well-known beverages on earth. This audit, nonetheless, remembers the absolute latest disclosures for the wellbeing benefits of both green and dark tea, because of develop...

Download PDF file
  • EP ID EP749186
  • DOI -
  • Views 26
  • Downloads 0

How To Cite

Chaitanya B. Pednekar, R. C. Suryawanshi (2014). A Perspective on Boolean Matrix for Mining Hybrid Dimensional Association Rules. International Journal of Innovative Research in Computer Science and Technology, 2(4), -. https://europub.co.uk/articles/-A-749186