A Synonym Based Approach of Data Mining in Search Engine Optimization

International Journal of Computer Trends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-12 Number-4
Year of Publication : 2014
Authors : Palvi Arora , Tarun Bhalla


Palvi Arora , Tarun Bhalla."A Synonym Based Approach of Data Mining in Search Engine Optimization". International Journal of Computer Trends and Technology (IJCTT) V12(4):201-205, June 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In today’s era with the rapid growth of information on the web, makes users turn to search engines as a replacement of traditional media. This makes sorting of particular information through billions of webpages and displaying the relevant data makes the task tough for the search engine. Remedy for this is SEO (Search Engine Optimization), i.e. having a website optimized in such a way that it will display the relevant webpages based on ranking. This is the main reason that makes search engine optimization a prominent position in online world. This paper present a synonym based data mining approach for SEO that makes the task of improving the ranking of the website much easier way and user will get answer to their query easily through any of search engine available in market.

[1] Fayyad, Usama; Piatetsky-Shapiro., Gregory; Smyth, Padhraic (1996). "From Data Mining to Knowledge Discovery in Databases".
[2] "Data Mining Curriculum". ACM SIGKDD. 2006-04-30.
[3] Clifton, Christopher (2010). "Encyclopedia Britannica: Definition of Data Mining".
[4] Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning: Data Mining, Inference, and Prediction".
[5] Brin, Sergey, and Lawrence Page. "The anatomy of a large-scale hyper textual Web search engine." Computer networks and ISDN systems 30.1 (1998) pp 107-117.
[6] Rajesh Singh and S.k Gupta, “Search engine optimization- Using Data Mining Approch”, International Jouranl of Application or Innovation in Engineering & Management (IJAIEM) Vol 2 Issue 9 September 2013 pp 28-32 ISSN 2319-4847.
[7] Jiawei Han Kevin and Chen-Chuan Chang , “Data mining for web intelligence” IEEE Computers, 2002 Vol. 35 pp 64-70.
[8] Solihin, Niko, "Search Engine Optimization: A Survey of Current Best Practices" (2013). Technical Library. pp 151.
[9] S. Chakrabarti et al., “Mining the Web’s Link Structure,” Computer, Aug. 1999, pp. 60 67.
[10] Lalit Kumar and Naresh Kumar, “SEO Technique for a website and its effectiveness in context of Google Search Engine”, International Jouranl of Computer Science and Engineering (IJCSE) Vol.2 Issuse 4, 2014. pp 113-118.
[11] Peshave, Monica, and Kamyar Dezhgosha. "How search engines work and a web crawler application." Department of Computer Science, University of Illinois, Springfield USA (2005).
[12]Edgar Damian Ochoa: An Analysis of the Application of selected SEO techniques and their effectiveness on Google’s search ranking algorithm, California state university, Northridge, May’2012 - csun-dspace.calstate.edu
[13] Malaga, Ross A. "Worst practices in search engine optimization." Communications of the ACM 51.12 (2008) pp 147-150.
[14] Vinit Kumar Gunjan, Pooja, Monika and Amit: Search engine optimization with Google, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 3, January 2012, ISSN (Online): 1694-0814.
[15] P. T. Chung, S. H. Chung and C. K. Hui, “A web server design using search engine optimization techniques for web intelligence for small organizations”, LISAT IEEE Long Island University Brooklyn NY USA, (2012), pp.1-6.
[16] Li-Hsing, et al: The Application of Search Engine Optimization Techniques for Internet Marketing: An Example of the Motel Websites. (IEEE), 2010, page- 2767 – 2770, INSPEC Accession Number: 12219467.

Data mining, Goal of SEO, Keyword based search, Random surfing, Synonym based search, Synonym table.