Trend Analysis Based On Access Pattern Over Web Logs Using Hadoop

Snehal S. Sonawane , Sonal S. Patil , Supriya D. Sonawane , Saurabh U. Garud

Cloudera, Hadoop, MapReduce, Log Files, Web Mining, MySql Database, Hadoop Distributed File System, Trend Analysis

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

Published Paper   E-Certificate

"Trend Analysis Based On Access Pattern Over Web Logs Using Hadoop", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 6, page no.97 - 100, June-2016, Available :https://ijsdr.org/papers/IJSDR1606021.pdf

Volume 1 Issue 6, June-2016

Pages : 97 - 100

Paper Reg. ID: IJSDR_160494

Published Paper Id: IJSDR1606021

Downloads: 000347261

Research Area: Engineering

Country: Jalgaon, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1606021

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1606021

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition