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A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining

S.Kiruthika 1 , A. Malathi2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1445-1452, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.14451452

Online published on May 31, 2019

Copyright © S.Kiruthika, A. Malathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S.Kiruthika, A. Malathi, “A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1445-1452, 2019.

MLA Style Citation: S.Kiruthika, A. Malathi "A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining." International Journal of Computer Sciences and Engineering 7.5 (2019): 1445-1452.

APA Style Citation: S.Kiruthika, A. Malathi, (2019). A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining. International Journal of Computer Sciences and Engineering, 7(5), 1445-1452.

BibTex Style Citation:
@article{Malathi_2019,
author = {S.Kiruthika, A. Malathi},
title = {A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1445-1452},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4428},
doi = {https://doi.org/10.26438/ijcse/v7i5.14451452}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.14451452}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4428
TI - A Survey on Bio Inspired Algorithms: An Efficient Approach for Frequent Path Mining
T2 - International Journal of Computer Sciences and Engineering
AU - S.Kiruthika, A. Malathi
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1445-1452
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Bio inspired algorithm plays a major role in data mining. The scope of the bio-inspired algorithm is very enormous, it provides major advantages to solve many computational problems. Bio-inspired and frequent path mining is embedded to solve critical problems in data mining. Frequent patterns in a data stream can provide an important basis for decision making and applications. This survey paper represents the applications bio-inspired algorithms, comparative study of Swarm based algorithms, which includes Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Cuckoo Search (CS), Artificial Bee Colony (ABC), and Firefly algorithm, which enhance the performance to predict their competent frequent paths.

Key-Words / Index Term

Bioinspired, Swarm algorithms, Evolutionary programming, Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Cuckoo Search(CS), Artificial Bee Colony (ABC), Firefly algorithm

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