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A Survey on E-Commerce Log Analysis Using Hadoop

Sapna Bhavsar1 , Pooja Shah2 , Tushar Trambadiya3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 486-489, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.486489

Online published on Mar 31, 2019

Copyright © Sapna Bhavsar, Pooja Shah, Tushar Trambadiya . 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: Sapna Bhavsar, Pooja Shah, Tushar Trambadiya, “A Survey on E-Commerce Log Analysis Using Hadoop,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.486-489, 2019.

MLA Style Citation: Sapna Bhavsar, Pooja Shah, Tushar Trambadiya "A Survey on E-Commerce Log Analysis Using Hadoop." International Journal of Computer Sciences and Engineering 7.3 (2019): 486-489.

APA Style Citation: Sapna Bhavsar, Pooja Shah, Tushar Trambadiya, (2019). A Survey on E-Commerce Log Analysis Using Hadoop. International Journal of Computer Sciences and Engineering, 7(3), 486-489.

BibTex Style Citation:
@article{Bhavsar_2019,
author = {Sapna Bhavsar, Pooja Shah, Tushar Trambadiya},
title = {A Survey on E-Commerce Log Analysis Using Hadoop},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {486-489},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3866},
doi = {https://doi.org/10.26438/ijcse/v7i3.486489}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.486489}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3866
TI - A Survey on E-Commerce Log Analysis Using Hadoop
T2 - International Journal of Computer Sciences and Engineering
AU - Sapna Bhavsar, Pooja Shah, Tushar Trambadiya
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 486-489
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

today web mining is a testing assignment in association. Each association produced immense measure of information from different source. Log documents are kept up by the web server. The testing undertaking for E-trade organizations is to know their client conduct to enhance the business by breaking down web log records. Internet business site can produce several peta bytes of date in their web log documents. The investigation of log documents is utilized for learning the client conduct in E-trade framework. The examination of such substantial web log documents requires parallel handling and dependable information stockpiling framework. The Hadoop structure gives solid stockpiling by Hadoop Distributed File System and parallel handling framework for huge database utilizing MapReduce programming model. These components help to process log information in parallel way and figures results productively.

Key-Words / Index Term

Hadoop, MapReduce, Web Log, E-trade, frequent item set mining

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