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A Survey on Mining Frequent Itemsets over Data Streams

by Shailvi Maurya, Sneha Ambhore, Sneha Parit
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 8
Year of Publication: 2017
Authors: Shailvi Maurya, Sneha Ambhore, Sneha Parit
10.5120/ijca2017916030

Shailvi Maurya, Sneha Ambhore, Sneha Parit . A Survey on Mining Frequent Itemsets over Data Streams. International Journal of Computer Applications. 179, 8 ( Dec 2017), 37-40. DOI=10.5120/ijca2017916030

@article{ 10.5120/ijca2017916030,
author = { Shailvi Maurya, Sneha Ambhore, Sneha Parit },
title = { A Survey on Mining Frequent Itemsets over Data Streams },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 8 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number8/28760-2017916030/ },
doi = { 10.5120/ijca2017916030 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:13.043688+05:30
%A Shailvi Maurya
%A Sneha Ambhore
%A Sneha Parit
%T A Survey on Mining Frequent Itemsets over Data Streams
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 8
%P 37-40
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining frequent itemsets over data stream has been challenging task. The incoming data from various sources like ecommerce website, click streams, text, audio, weather forecasting etc. are massive unbounded and high speed that it is impractical to store all, process and scan complete data at the same time to extract information. While processing memory and time are the main parameters must be minimum consumed. Thus the paper provides different algorithms for mining over static and dynamic data also known as data stream.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining data stream frequent itemsets.

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