International Journal of scientific research and management (IJSRM) ||Volume||4||Issue||06||Pages||4338-4346||2016|| Website: www.ijsrm.in ISSN (e): 2321-3418 Mr. Pradeep Kumar Shriwas, IJSRM volume 4 issue 6 June 2016 [www.ijsrm.in] Page 4338 “Modified Apriori Algorithm For Efficient Web Navigation Data Mining” Mr. Pradeep Kumar Shriwas, Mr.Deepesh Dewangan (M.Tech. Object Oriented Software Development) (Department of Computer Science: Kalinga University, Raipur) shriwasji.ps@gmail.com (Assistant Professor) (Department of Computer Science: Kalinga University, Raipur) deepesh.dewangan@gmail.com Abstract: Web Data mining can be defined as knowledge discovery and analysis of useful information from the web. It is the process of determining user accessibility pattern, during the mining of log files and associated data from a particular Web site. Accurate web log mining results and efficient online navigational pattern prediction are undeniably crucial for tuning up websites and consequently helping in visitor’s retention. Like any other data mining task, web log mining starts with data cleaning and preparation and it ends up discovering some hidden knowledge which cannot be extracted using conventional methods. We are proposing an enhancement to the web log mining process and to the online navigational pattern prediction named Dynamic Apriori algorithm for mining both frequent and closed frequent item set over data stream in log file. The algorithm is appropriate for noticing latest or new changes in the set of frequent item set by modifying the traditional Apriori algorithm and Travelling Salesmen Problem (TSP) in the arriving data stream. The proposed modified algorithm we avoid unwanted and repetition of data. Here experimental analysis also use for improvement of web design, efficiently finding the User web navigation pattern which will help to grow the customer satisfaction and analysis. Keyword: Apriori Algorithm, web navigation, data mining, knowledge discovery, web log files TSP. INTRODUCTION WEB DATA MINING The term Web Data Mining is a technique used to crawl through various web resources to collect required information, which enables an individual or a company to promote business, understanding marketing dynamics, new promotions floating on the Internet, etc. There is a growing trend among companies, organizations and individuals alike to gather information through web data mining to utilize that information in their best interest. Data Mining is done through various types of data mining software. These can be simple data mining software or highly specific for detailed and extensive tasks that will be sifting through more information to pick out finer bits of information. For example, if a company is looking for information on doctors including their emails, fax, telephone, location, etc., this information can be mined through one of these data mining