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Papers tagged with "Web Usage Mining"
Adaptive Web Recommendations For Personalized Browsing
The Approach Extracts Key Features From Web Documents To Form Concepts, Which Are Used To Build An Ontology Capturing Semantic Relationships Between Learning Materials. Web Usage Mining Analyzes Learner Interactions And Navigation Patterns,...
CURRENT TRENDS AND FUTURE CHALLENGES IN WEB USAGE MINING
The Collection, Analyzation And Summarization Of Web Activities From Web Users Is Called As Web Usage Mining. In Current Trend Web Usage Mining Has No High Quality And Sufficient Security. Retrieving The Required Web Page From The Web Effic...
COMPARATIVE STUDY OF WEB PAGES CLASSIFICATION METHODS
The Web Is A Huge Database Of Information And There Is A Need For Web Pages Classification To Facilitate The Indexing, Search And Retrieval. Web Page Classification Is Significantly Different From Traditional Full Text Classification Becaus...
A Review on Web Mining Technologies and Applications
The World Wide Web Is A Gigantic, Data Place For An Assortment Of Uses. Web Contains A Dynamic And Rich Assortment Of Hyperlink Data. It Permits Web Page Get To, Utilization Of Data And Gives Various Sources To Information Mining. The Objec...
THE RECOMMENDATION SYSTEM AS PER USER INTEREST ON WEB
Nowadays, Web Service Recommendation With Effective Approaches Has Become A Key Issue In The Field Of Service Computing. Web Services Have Been Rapidly Developed In Recent Years And Played Important Roles In E-Commerce And Other Organizatio...
A SURVEY ON WEBPAGE RECOMMENDATION IN WEB USAGE MINING USING GENETIC ALGORITHM
Web Mining Is An Emerging Field Of Data Mining Used To Provide Personalization On The Web. The Basic Focus Of Web Mining Is To Use Data Mining Techniques And Algorithms To Extract Useful And Hidden Patterns From Unstructured And Huge We...
A COMPARISON OF K-MEANS CLUSTERING AND SMART TWO LEVEL K-MEANS CLUSTERING ALGORITHM
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking....
IMPROVED TWO LEVEL K-MEANS CLUSTERING ALGORITHM TO GENERATE USER PATTERN CLUSTERING
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking. P...
SMART AND EFFECTIVE WEB PAGE RECOMMENDATION SYSTEM USING ONTOLOGY
In The Expanding Era Of The Internet Web-page Recommendation Plays A Vital Role In Intelligent Web Systems. The Knowledge Used In Web-page Recommendations Is Very Essential And Pivotal For The Design Of New Successful Web Pages/websites...
IMPLEMENTED TWO LEVEL K-MEANS CLUSTERING ALGORITHM TO IMPROVE QUALITY IN USER PATTERN MINING
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking. S...
Design and Analysis of Web Based Recommendation System Using E-Commerce Data
Recommendation System Are Used By Number Of ECommerce Site To Help Customer Find The Product To Purchase Based On Their Preferences. And Also Developed Recommendation System Based On Web Usage Mining Pattern. Web Usage Mining Techniques...
A New Approach for Rectifying Erroneous Data in Web Usage Mining using Preprocessing
Web Mining Is One Of The Technique Of Data Mining. Its Applying To Determine And Collect The Data From Different Web Sites. Web Usage Mining (WUM) Pre-processing Involving To The Process Of Automatic Detection In Addition To Analysis Of...