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A FRAMEWORK FOR SECURE COMPUTATIONS WITH TWO NON-COLLUDING SERVERS AND MULTIPLE CLIENTS, APPLIED TO RECOMMENDATIONS
A Generic Framework Is Provided That, With The Help Of A Preprocessing Phase That Is Independent Of The Inputs Of The Users, Allows An Arbitrary Number Of Users To Securely Outsource A Computation To Two Non-colluding External Servers. The...
INNOVATIVE ALGORITHM FOR DETECTION AND ANALYSIS OF P-WAVE
This Paper Relates That, We Have Been Delved Invention Of The P Wave I. E. A New Method To Ameliorate The Recording Of Atrial Activities Of Patient Heart. The Electrocardiogram Feeds Normal & Abnormal Recording Activities Due To This Electr...
IMAGE CONTENT FROM SCANNED DOCUMENTS
As Large Quantity Of Document Images Is Getting Archived By The Digital Libraries, There Is A Need For An Efficient Search Strategies To Make Them Available As Per Users Information Need. For Their Retrieval, It Is Important To Recognize The...
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...
SYSTAMATIC TUMOR DISEAS DETECTION USING TWO-STEP PROCEDURE IN WEIGHTED MR IMAGES
The Permanent Magnet Resonance Imaging Is A Regular Modality Used In Medicine For Rain Diagnosis And Treatment. It Offers The Advantage As A Noninvasive Strategy That Permits The Analysis Of Brain Tissues. The Early Detection Of Tumor...
WEB DOCUMENT CLUSTERING USING FUZZY CLUSTERING : AN APPROACH FOR IMPROVING DOCUMENT INSPECTION
Document Clustering Is Becoming Vital For Obtaining Good Results Using Unsupervised Learning Methods The Approaches Such As Extractions And Clustering Are Being Increasingly Used To Improve The Document Clustering Techniques. These Appr...
SENTIMENT ANALYSIS OF TWITTER DATA USING HADOOP
Twitter Is Most Widely Used For Displaying Various Opinion Of People, Making It A Valuable Platform For Tracking And Analyzing Public Sentiment. Previous Research Mainly Focused On Modeling And Tracking Public Sentiment. In This Work, W...
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...
AN APPROACH TO MULTICLASS TEXT CLASSIFICATION
Text Categorization Is The Task Of Arranging A Set Of Documents Into Preordained Categories. This Has Several Applications Including Spam Filtering, Email Filtering, Authorship Attribution, Content Classification And News Monitoring Etc...
Devanagari OCR: Issues and Analysis of Newspaper digitization
OCR Software Attempts To Replicate The Combined Functions Of The Human Eye And Brain, Which Is Why It Is Referred To As Artificial Intelligence Software. A Human Can Quickly And Easily Recognize Text Of Varying Fonts And Of Various Prin...
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...