Elementary Machine Learning For Webmining

ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING

A Technical paper National Institute Submitted by Of Science And Technology

Satya narayan Sahu

Satya narayan Sahu

ROLL:IT200117269

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

INTRODUCTION 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 National Institute Of Science And Technology 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. 

Satya narayan Sahu

[2]

ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

APPROACHES New search mechanism called SmartSeek is introduced Machine learning concepts Employs genetic National Institute Of Science And Technology algorithm (GA) System accepts user feedback

Satya narayan Sahu

[3]

National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING FUNCTIONING OF SMARTSEEK  SmartSeek sets up a database about user objective  It extracts information about the common words and phrases  Looks for similarNational pagesInstitute (metasearch engine) Of Science And Technology  Comparison with other pages  Feedback  Further enhancement

Satya narayan Sahu

[4]

ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

SMARTSEEK MODEL

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Satya narayan Sahu

[5]

National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING IN DETAIL Most Relevant  Moderate Relevancy  Irrelevant National Institute Of Science And Technology  Operators AND (&), OR (|),NOT (~) and CONCAT (-).  After n such iteration 

Satya narayan Sahu

[6]

ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

CROSSOVER

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Satya narayan Sahu

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

THE AI 

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

  

Natural language processing National Institute Of Science And Technology Knowledge representation Automated reasoning Machine learning

Satya narayan Sahu

[8]

National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING WEB MINING Web Mining can be said to have three operations of interest: finding natural grouping of users pages National Institute Ofor Science And Technology  finding URLs which tend to be grouped together  finding the order in which URLs tend to be accessed 

Satya narayan Sahu

[9]

ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

ALGORITHMIC APPROACH

Finding Expected Locations

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Optimizing the set of Navigation Links

Satya narayan Sahu

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

FINDING EXPECTED LOCATIONS 

Model of Visitor Search Patterns 1(a) Single Target National Institute Of Science And Technology 1(b) Set of Targets



Identifying Target Pages

Satya narayan Sahu

[11]

National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING EXAMPLE

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Website and Search Pattern

Satya narayan Sahu

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

OPTIMIZING SET OF NAVIGATION LINKS 1) First Only 2)Optimize Benefit National Institute Of Science And Technology

3)Optimize time

Satya narayan Sahu

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National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING EXPERIMENTS

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Satya

Wharton Website Structure Sahu narayan

By Rakesh Agrawal

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National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING EXAMPLE:

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Satya narayan Sahu

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

CONCLUSION & FUTURE DIRECTIONS Algorithms have been proposed Websites without clear separation National Institute Of Scienceof Andcontent Technology and index page Time Threshold to distinguish between two activities

Satya narayan Sahu

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ELEMENTARY MACHINE LEARNING FOR WEBMINING National Institute of Science & Technology

REFERENCES 1.www.ibm.com 2.www.almaden.com Of Science And Technology 3.Mastering Data National MiningInstitute by Helenz Hulki 4.How internet works by K.Perl

Satya narayan Sahu

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National Institute of Science & Technology

ELEMENTARY MACHINE LEARNING FOR WEBMINING

THANK YOU

National Institute Of Science And Technology

Satya narayan Sahu

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