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A Comparative Study of Pattern Recognition Algorithms on Sales Data

by Maulik Shah, Nirali Shah, Anviksha Shetty, Darshan Shah, Pradnya Gotmare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 1
Year of Publication: 2016
Authors: Maulik Shah, Nirali Shah, Anviksha Shetty, Darshan Shah, Pradnya Gotmare
10.5120/ijca2016909463

Maulik Shah, Nirali Shah, Anviksha Shetty, Darshan Shah, Pradnya Gotmare . A Comparative Study of Pattern Recognition Algorithms on Sales Data. International Journal of Computer Applications. 141, 1 ( May 2016), 38-41. DOI=10.5120/ijca2016909463

@article{ 10.5120/ijca2016909463,
author = { Maulik Shah, Nirali Shah, Anviksha Shetty, Darshan Shah, Pradnya Gotmare },
title = { A Comparative Study of Pattern Recognition Algorithms on Sales Data },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 1 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number1/24751-2016909463/ },
doi = { 10.5120/ijca2016909463 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:21.723184+05:30
%A Maulik Shah
%A Nirali Shah
%A Anviksha Shetty
%A Darshan Shah
%A Pradnya Gotmare
%T A Comparative Study of Pattern Recognition Algorithms on Sales Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 1
%P 38-41
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the realm of Data Mining looking for patterns and association rules is a very critical task and has been widely studied in the past years. There exist several data mining algorithms to find Association Rules in given datasets. One of the most popular and widely used algorithm is the Apriori algorithm to find patterns and itemsets in huge datasets and getting the association rules between them. This is done to gather knowledge from otherwise unsuspecting and random data. The Fp-Growth algorithm is similarly a different algorithm which uses an extended frequent pattern prefix-tree data structure for storing critical data after compression about frequent pairs. In this paper we do a comparative analysis of the 2 most popular pattern recognition algorithms and their performance on sales data of a college canteen sales transnational database where each record consists of items purchased by customer.

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Index Terms

Computer Science
Information Sciences

Keywords

Comparison Data Mining Frequent Itemset Apriori Algorithm FP-Growth Knowledge Discovery.

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