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Reseach Article

Abalone Age Prediction Problem: A Review

by Kunj Mehta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 50
Year of Publication: 2019
Authors: Kunj Mehta
10.5120/ijca2019919425

Kunj Mehta . Abalone Age Prediction Problem: A Review. International Journal of Computer Applications. 178, 50 ( Sep 2019), 43-49. DOI=10.5120/ijca2019919425

@article{ 10.5120/ijca2019919425,
author = { Kunj Mehta },
title = { Abalone Age Prediction Problem: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2019 },
volume = { 178 },
number = { 50 },
month = { Sep },
year = { 2019 },
issn = { 0975-8887 },
pages = { 43-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number50/30895-2019919425/ },
doi = { 10.5120/ijca2019919425 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:53:41.611239+05:30
%A Kunj Mehta
%T Abalone Age Prediction Problem: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 50
%P 43-49
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Abalones are sea snails or molluscs otherwise commonly called as ear shells or sea ears. Because of the economic importance of the age of the abalone and the cumbersome process that is involved in calculating it, much research has been done to solve the problem of abalone age prediction using its physical measurements available in the UCI dataset. This paper reviews the various methods like decision trees, clustering, SVM using Tomek links, CGANs and CasCor used in an attempt to solve it. Furthermore, in contrast to previous research that saw this as a classification problem, this paper approaches it as a linear regression problem and analyses the results.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Abalone Regression SMOTE RANSAC CasCor CasPer UCI