• Naresh Kumar Kar
• Megha Mishra
• Subhash Chandra Shrivastava

Aim behind web mining is to ascertain and retrieve valuable and fascinating patterns from a hefty dataset. There isenormousattentivenessin the field of web mining, web log data encompasses different varieties of information, including web documents data, web structure data, web server log, and web user data.WM(Web Usage Mining) has numerous application areas for examplelink likelihood, site restructuring, web personalization and web pre-fetching. Most significant phases of WM are the rebuilding of user sessions with the help of heuristics algorithms and ascertainingvaluableoutlines from these web sessions with the assistance of patternidentification techniques alike apriori or analogous ones. In this paper we will discuss different phases of web mining, different methods used for the same and their bottleneck emphasis on dimension reduction for cognitive analysis, an experimental evaluation given for dimension reduction.

WM, ML, DM

"Cognitive Analysis over Web Server Log Emphasis on Dimension Reduction: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.588-594, November-2018, Available :http://www.jetir.org/papers/JETIR1811886.pdf

"Cognitive Analysis over Web Server Log Emphasis on Dimension Reduction: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp588-594, November-2018, Available at : http://www.jetir.org/papers/JETIR1811886.pdf