• Kavita Tandon
• D.P Mishra

In recent years, it has been observed that major publishing media is World Wide Web (www), which has attracted many interested people. Most of the web content is semi-structured and unstructured, so assembling those data into meaningful information is very tiresome. Web servers generated by people across the world is a huge amount of information in itself which is generated because of web users browsing actions. Numerous specialists have examined these supposed web get to log information to better comprehend and describe web clients. Information can be improved by adding the details of traversed pages and the starting point (e.g., geographic, hierarchical) of that particular solicitations. The objective of this venture is to make a web application that is ready to give web log get to data and store adroitly which is use to dissect client conduct by mining enhanced web get to log information utilizing BIG DATA HADOOP innovation. The few web use digging strategies for extricating valuable highlights is examined and utilize every one of these methods to bunch the clients of the area to contemplate their practices thoroughly. Main objective of this research is data enrichment which is substantial in nature, and source based and tree-like representation of regular navigational successions.

Hadoop Big data, Web application log, Map-Reduce, Web Mining, Web Usage mining

"An approach of Big Data Analytics for quality enhancement of web application contents", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.661-668, August-2018, Available :http://www.jetir.org/papers/JETIR1808853.pdf

"An approach of Big Data Analytics for quality enhancement of web application contents", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp661-668, August-2018, Available at : http://www.jetir.org/papers/JETIR1808853.pdf