Open Access   Article Go Back

Research Issues on Web Mining

P.Joseph Charles1 , I.Carol 2 , Barna Bass3

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 43-48, Mar-2018

Online published on Mar 31, 2018

Copyright © P.Joseph Charles, I.Carol, Barna Bass . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: P.Joseph Charles, I.Carol, Barna Bass, “Research Issues on Web Mining,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.43-48, 2018.

MLA Style Citation: P.Joseph Charles, I.Carol, Barna Bass "Research Issues on Web Mining." International Journal of Computer Sciences and Engineering 06.02 (2018): 43-48.

APA Style Citation: P.Joseph Charles, I.Carol, Barna Bass, (2018). Research Issues on Web Mining. International Journal of Computer Sciences and Engineering, 06(02), 43-48.

BibTex Style Citation:
@article{Charles_2018,
author = {P.Joseph Charles, I.Carol, Barna Bass},
title = {Research Issues on Web Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {43-48},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=203},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=203
TI - Research Issues on Web Mining
T2 - International Journal of Computer Sciences and Engineering
AU - P.Joseph Charles, I.Carol, Barna Bass
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 43-48
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

A collection of inter-related files on one or more web servers is known as Web, while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers. The web data includes web pages, web links, objects on the web and web logs. Web mining is used to understand the customer behavior, evaluate a particular website based on the information, which is stored in web log files. Web mining is generated by making use of the data mining techniques, classification, clustering, and association rules. The collection of information becomes very hard to find, extract, filter or evaluate the relevant information for the users. With the flood of information on the Web, Web mining is a new research issue, which draws great interest from many communities. Currently, there is no agreement about Web mining yet. It needs more discussion among researchers in order to define what it is exactly. In this paper, we have studied the basic concepts of web, web mining, classification, processes, the taxonomy and the function of Web mining.

Key-Words / Index Term

Web Mining, Taxonomy, web structure mining

References

[1] Mr. Dushyant B.Rathod, Dr.Samrat Khanna, “A Review on Emerging Trends of Web Mining and its Applications” ISSN: 2321-9939
[2] Usama Fayyad et al, “The KDD Process for Extracting Useful Knowledge from Volumes of Data”, Communications of the ACM, Vol. 39, No. 11, Nov. 1996, pp. 27-34.
[3] P. Maes. Agents that reduce work and information overload. Communications of the ACM, 37(7):30–40,1994.
[4] H. N. Vu, T. A. Tran, I. S. Na, and S. H. Kim,“Automatic Extraction of Text Regions from Document Images by Multilevel Thresholding and kmeans Clustering,” In Proceedings of IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS), pp. 329–334, 2015.
[5] R. Lokeshkumar1, R. Sindhuja2, Dr. P. Sengottuvelan, “A Survey on Pre-processing of Web Log Filein Web Usage Mining to Improve the Quality of Data” International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 8, August 2014.
[6] AshirrK Kashyap, Iflah Naseem, Dheeraj Mandloi, "Web Mining an Approach to Evaluate the Web", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.3, pp.79-85, 2017
[7] [Joy Shalom Sona, Prof. Asha Ambhaikar” A Reconciling Website System to Enhance Efficiency with Web Mining Techniques” International Journal Of Scientific & Engineering Research Volume 3, Issue 2, February-2012 1 ISSN 2229-5518.
[8] Sonia Sharma, Munishwar Rai, "Customer Behaviour Analysis using Web Usage Mining", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.6, pp.47-50, 2017
[9] Ashish Kumar Garg, Mohammad Amir, Jarrar Ahmed, Man Singh, Sham Bansa,” Implementation of a Search Engine” International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064.
[10] Jaideep Srivastava, “Web Mining: Accomplishments & Future Directions”, University of Minnesota USA, srivasta@cs.umn.edu,
[11] Md. Zahid Hasan, Khawja Jakaria Ahmad Chisty and Nur-E-Zaman Ayshik, “Research Challenge in Web Data Mining”, International Journal of Computer Science and Telecommunications Volume 3, Issue 7, July 2012
[12] D.Jayalatchumy, Dr. P.Thambidurai, “Web Mining Research Issues and Future Directions – A Survey”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 14, Issue 3.
[13] Ananthi.J,” A Survey Web Content Mining Methods and Applications for Information Extraction from Online Shopping Sites”, International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014.
[14] http://www.slideshare.net/Tommy96/web-mining-tutorial R. Lokeshkumar1, R. Sindhuja2, Dr. P. Sengottuvelan, “A Survey on Pre-processing of Web Log File in Web Usage Mining to Improve the Quality of Data” International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 8, August 2014.
[15] Alberto Sillitti, Marco Scotto, Giancarlo Succi, Tullio Vernazza,” News Miner: a Tool for Information Retrieval”
[17] Mamta M. Hegde, Prof. M.V.Phatak, “Developing an approach for hyperlink analysis with noise reduction using Web Structure Mining”, International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 3, May2012.