ASSOCIATION RULE MINING USING MODIFIED BPSO

Abstract

In this paper, for formulating rules, we are using modified BPSO based on mutation function. Association rules are generated without specifying minimum support and confidence which improves the drawback of apriori, Fp-growth algorithm. In proposed method, the problem of convergence in BPSO is improved using mutation part of Genetic Algorithm and also comparing the results of BPSO and modified BPSO.

Authors and Affiliations

AMIT KUMAR CHANDANAN, KAVITA 2, M K SHUKLA

Keywords

Related Articles

EVOLUTION OF NEW EFFICIENT LOAD BALANCER ALGORITHM FOR LARGE DATA SETS

Cloud computing is a vital part of this new era IT world or we can say that it is a technology of new age which are used to connect data and application from anywhere around the planet through the internet. Anything and...

PARTICLES SWARM OPTIMIZATION TECHNIQUES : PRINCIPLE, COMPARISON & APPLICATION

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a popula...

MODEL AND SIMULATION TO MINIMIZE EMPTY SPACE LEFT WITH LAFF METHOD IN THE LOADING OF CARGO SYSTEM

Logistics is to put resources at the right time, right place, at the right cost and right quality, therefore the iinformation technology is the important part of the logistic company. This explains why loading of cargo i...

Approaches to Image Processing using the Tools of Fuzzy Sets

In this paper, an approach to processing images by applying the concept of fuzzy sets is considered for the purpose of improving the quality of images of image segmentation and contour extraction in images. Studied metho...

INHERITANCE IN OBJECT ORIENTED PROGRAMMING EASIEST WAY TO TEACH AND LEARN INHERITANCE IN C++

When we are talking about Object-Oriented programming, the first strike of everyone’s mind is object and class. Object and Class are core concepts to build Object-Oriented programming. C++ have some basic features: simpl...

Download PDF file
  • EP ID EP222281
  • DOI -
  • Views 151
  • Downloads 0

How To Cite

AMIT KUMAR CHANDANAN, KAVITA 2, M K SHUKLA (2017). ASSOCIATION RULE MINING USING MODIFIED BPSO. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 7(2), 29-36. https://europub.co.uk/articles/-A-222281