• ASIT KUMAR MOHAPATRA
• Dr. Jitendra Seethlani

Data mining is the application of sophisticated analysis to large amounts of data in order to discover new knowledge in the form of patterns, trends, and associations. For finding suitable information Search engines play an important role in retrieval of information on the web as they had become the entry point for accessing the web. Search engines analyse various aspects of the web page like its content and other attributes and display them accordingly .So it is important for the webmasters to develop and create those webpage’s that fulfill the requirements of search engine but there is no such standard for ranking the webpage as it vary from one search engine to another. So webmasters uses different search engine optimization techniques like Keyword selection, Directory submission, Social bookmarking, Target market, Content, Keyword density in contents etc. to promote their webpage’s. This paper focuses in analysing different search engine optimization techniques and finding those techniques that makes maximum impact in the ranking of the web page for this purpose researcher had used k-means cluster analysis for clustering various SEOT.

Search engine optimization, Data mining, K-means cluster analysis, weka

"AN ANALYTICAL STUDY OF DATA MINING IN SEARCH ENGINE OPTIMIZATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1204-1212, April-2019, Available :http://www.jetir.org/papers/JETIR1904R77.pdf

"AN ANALYTICAL STUDY OF DATA MINING IN SEARCH ENGINE OPTIMIZATION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1204-1212, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R77.pdf