MINING OF WEB LOG FILES USING RELEVANT COMPUTING TECHNIQUES FOR IMPROVING FUTURE ANTICIPATION USAGE OF WEB NAVIGATION

The Internet has evolved extensively over the past few decades. Web navigation refers to the process of navigating a network of information resources in the World Wide Web, which is organized as hypertext or hypermedia. The navigation related to web navigation usability gets solved by comparing the actual and anticipated usage patterns. The actual usage pattern removed from web server logs are sporadically recorded in operational web sites for handling the log data. This process is used to identify the users, user session and user task oriented transactions. The pattern can be discovered among the actual usage path by using the algorithms of data mining generally the ideal user’s inter active path models are framed by cognitive experts based on the cognition of user behavior, which is utilized to pull out the anticipated usage, that includes information about both the time required for user - oriented tasks and the mechanism to identify th e user navigation problems here the usability issues get detected from the deviation of the data. It is observed that Genetic algorithms can be used as optimization methods and for corrective action to impro ve the web navigation usability .