INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Trend Analysis Based On Access Pattern Over Web Logs Using Hadoop
Authors Name:
Snehal S. Sonawane
, Sonal S. Patil , Supriya D. Sonawane , Saurabh U. Garud
Unique Id:
IJSDR1606021
Published In:
Volume 1 Issue 6, June-2016
Abstract:
With growing advancement in the electronic commerce field, trend analysis is spreading all over the world.The invariable progress of World Wide Web leads to the generation of Log file.Log file contain parameter like user names, IP addresses, URLs, Page links, Browsers, Operating system etc.we use Hadoop as plotform. Hadoop is use for Distributed File System.This Paper can analyze the trend based On User behavior for this Purpose we used the Hadoop MapReduce Function.The key terms and algorithm uses are Hadoop Map Reduce Function,Word count,AlltransactionReducer etc.In this Paper we give the input as Web Log File we can preprocess that Log file using Data Preprossessing tools then apply Hadoop Mapreduce function on log file.The output should be in the form of Graphs,Piechart or any graphical representation. The primary Aim of the paper is to construct log analysis system which depicts trends based on the users behaviour mode using Hadoop MapReduce which facilitates handling of heterogeneous query execution on log file
Keywords:
Cloudera, Hadoop, MapReduce, Log Files, Web Mining, MySql Database, Hadoop Distributed File System, Trend Analysis
Cite Article:
"Trend Analysis Based On Access Pattern Over Web Logs Using Hadoop", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 6, page no.97 - 100, June-2016, Available :http://www.ijsdr.org/papers/IJSDR1606021.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1606021
Registration ID:160494
Published In: Volume 1 Issue 6, June-2016
DOI (Digital Object Identifier):
Page No: 97 - 100
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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