ELEMENTARY MACHINE LEARNING FOR WEBMINING full report
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ELEMENTARY MACHINE LEARNING FOR WEBMINING


Algorithms that automatically discovers all pages in a website whose location is different from the location where visitors expect to find them and for selecting the set of navigation links to optimize the benefit to the website are proposed.
It is hard to organize a website such that pages are located where visitors expect to find them


APPROACHES

New search mechanism called SmartSeek is introduced
Machine learning concepts Employs genetic algorithm (GA)
System accepts user feedback




FUNCTIONING OF SMARTSEEK

SmartSeek sets up a database about user objective
It extracts information about the common words and phrases
Looks for similar pages (metasearch engine)
Comparison with other pages
Feedback
Further enhancement
Most Relevant
Moderate Relevancy
Irrelevant
Operators AND (&), OR (|),NOT (~) and CONCAT (-).
After n such iteration




THE AI

Artificial Intelligence (AI) is simply a way of thinking intelligently aims at

Natural language processing
Knowledge representation
Automated reasoning
Machine learning



WEB MINING

Web Mining can be said to have three operations of interest:
finding natural grouping of users or pages
finding URLs which tend to be grouped together
finding the order in which URLs tend to be accessed





ALGORITHMIC APPROACH

Finding Expected Locations



Optimizing the set of Navigation Links




OPTIMIZING SET OF NAVIGATION LINKS

1) First Only

2)Optimize Benefit

3)Optimize time




CONCLUSION & FUTURE DIRECTIONS

Algorithms have been proposed

Websites without clear separation of content and index page

Time Threshold to distinguish between two activities





REFERENCES


1.ibm.com
2.almaden.com
3.Mastering Data Mining by Helenz Hulki
4.How internet works by K.Perl

 
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