UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2209027


Registration ID:
501910

Page Number

a269-a275

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Title

SHUFFLED COMPLEX EVOLUTION OF ARTIFICIAL BEE COLONY ALGORITHM BASED HIGH UTILITY ITEMSETS MINING

Authors

Abstract

High utility itemset mining is a recent research area in data mining. It attracts many researchers as it extracts profitable products from a database. It considers both the quantity and profit of products. Several algorithms have been presented to mine high-utility itemsets. There are some bio-inspired algorithms like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Ant Colony Optimization (ACO) algorithms are also used to retrieve high utility itemsets. In this paper a novel Shuffled Complex Evolution of Artificial Bee Colony (SCE-ABC) algorithm is used to retrieve high utility itemsets. In the SCE-ABC, a population of points is sampled randomly in the feasible space. Then the population is partitioned into several complexes, which are made to evolve based on ABC. At periodic stages in the evolution, the entire population is shuffled and points are reassigned to complexes. The performance of the SCE-ABC algorithm is compared to the existing SCE-ABC,ABC, PSO and GA algorithms, and results are compared. A benchmark dataset, mushroom, and foodmart datasets are used for performance analysis. Execution times of the algorithms and the memory space used by the algorithms are considered performance factors.

Key Words

: Artificial Bee Colony, High Utility itemsets, Shuffled Complex Evolution, Utility mining.

Cite This Article

"SHUFFLED COMPLEX EVOLUTION OF ARTIFICIAL BEE COLONY ALGORITHM BASED HIGH UTILITY ITEMSETS MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.a269-a275, September-2022, Available :http://www.jetir.org/papers/JETIR2209027.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SHUFFLED COMPLEX EVOLUTION OF ARTIFICIAL BEE COLONY ALGORITHM BASED HIGH UTILITY ITEMSETS MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppa269-a275, September-2022, Available at : http://www.jetir.org/papers/JETIR2209027.pdf

Publication Details

Published Paper ID: JETIR2209027
Registration ID: 501910
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: a269-a275
Country: Karaikudai, TAMIL NADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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