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ISSN: 2395-1052 • IF: 7.883
ISSN: 2395-1052 | Impact Factor:IF: 7.883 | International Peer-Reviewed Open Access Journal
Research Topic

Data Mining

212 Publications Matching this Keyword

Impact Factor
7.883
Data Mining

212 Matching Papers


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Papers tagged with "Data Mining"

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Vol 3, Issue 6 (June 2017) Engineering

Privacy Preservation Techniques in Data Mining: A Review

Data Mining Tools Aims To Find Useful Patterns From Large Amount Of Data. These Patterns Represent Information And Are Conveyed In Decision Trees, Clusters Or Association Rules. The Knowledge Discovered By Various Data Mining Techniques May...

Priyanka Nalawade , Dhananjay Shivaji Gawali
Vol 3, Issue 5 (May 2017) Computer Engineering

Recommendation System for Engineering Admission

Nowadays The Number Of Students Opting For Engineering Has Increased. The Number Of Engineering Colleges Are More But Students Do Not Have Proper Knowledge While Taking Admission. The Present Admission Process Has Multiple Rounds Based On C...

Krutika Pachundkar, Kiran Jadhao, Snehal Khot, Shraddha Shinde | S.N.Zaware

COMPARATIVE STUDY OF VARIOUS CLASSIFICATION TECHNIQUES USING XLMINER

This Paper Compares Various Classification Techniques In Data Mining Using XLMiner. XLMiner Is A Comprehensive Data Mining Add-in For Excel. Data Mining Is A Discovery-driven Data Analysis Technology Used For Identifying Patterns And Relati...

Ashish Gupta, Harish Kumar M, Rajeshwari C
Vol 3, Issue 5 (May 2017) Computer Science & Engineering

A REVIEW ON MULTIPLE TIME SERIES CLINICAL DATA PROCESSING FOR CLASSIFICATION

Data Mining Is A Multidisciplinary Subfield Of Software Engineering. It Is Utilized As A Part Of Different Fields, For Example, Therapeutic Research, Budgetary, Media Transmission, Logical Application. Grouping Is A Strategy Utilized As A P...

Kokila Ikhar, Prof. Gurudev B. Sawarkar
Vol 3, Issue 5 (May 2017) Computer Science & Engineering

A SURVEY ON DIFFERENT TECHNIQUES FOR HIGH UTILITY ITEMSET MINING

Data Mining Can Be Portrayed As A Development That Focuses Some Learning Contained In Broad Exchange Databases. Standard Data Mining Procedures Have Focused, As It Were, On Finding The Things That Are More Continuous In The Exchange Databas...

Shrutika Sherki, Prof. Gurudev B. Sawarkar
Vol 3, Issue 5 (May 2017) CSE

DATA SANITIZATION FOR PREVENTING SENSITIVE RULE MINING

Data Mining Is The Process Of Extracting The Required Or Useful Information From The Large Volume Of Data And The Result Of That Is Used For Decision Making. Several Data Mining Algorithms Have Been Developed.One Of Them Is “Association Rul...

Dayanand S. Patil, Vishwanath D. Chavan
Vol 3, Issue 4 (April 2017) Data Mining

A Fuzzy Support Vector Machine model for Improving Prediction accuracy of Heart Disease

Data Mining Is An Important Research Area For Medical Domain. The Risk Prediction Of Heart Disease Is Challenging Task In The Medical Field. Genetic Optimized Neural Network Classification Technique Gives Risk Prediction Of Heart Disease Wh...

Purusothaman G, Dr. A. Nithya
Vol 3, Issue 4 (April 2017) Computer Engineering

FEEDBACK ANALYSIS OF UNSTRUCTURED DATA FROM SOCIAL NETWORKING A BIG DATA ANALYTICS APPROACH

With The Vast Proliferation Of Online Applications And Cloud Resources, There Is A Tremendous Demand In Usage Of Social Networking Platforms. Start From Entrepreneur, Players, Politicians, Students, Or Anyone Are Highly Depending On Social...

Ishwarappa Kalbandi, Dr. J Anuradha
Vol 3, Issue 4 (April 2017) CSE

DATA MINING TECHNIQUES & APPLICATIONS

This Paper Illustrates The Concept Of Data Mining, How This Process Is Used To Find Useful Patterns From Large Amount Of Data. The Paper Elaborates That Mining Process Can Be Applied To Any Type Of Data Ranging From Weather Forecasting, Ele...

Shabnam Kumari, Krishan, Reema, Sunita Kumari
Vol 3, Issue 4 (April 2017) Computer Applications

IDENTIFYING THE MAJOR CAUSES OF CANCER USING ROUGH SET THEORY

In These Unusual Approach To Disappeared Astray Attribute Values Are Presented And Compared. Ten Input Data Files Were Used To Investigate The Presentation Of The Methods To Deal With Missing Aspect Values. For Testing Both Naive Classific...

V.Anu, D.Sivabalaselvamani
Vol 3, Issue 4 (April 2017) DATA MINING

A STUDY OF DATA MINING TECHNIQUES AND ITS APPLICATIONS

Data Mining Is The Computational Process Of Discovering Patterns In Large Data Sets. The Overall Goal Of The Data Mining Process Is To Extract Information From A Data Set And Transform It Into An Understandable Structure For Further Use. Th...

M.Porkizhi
Vol 3, Issue 4 (April 2017) Computer Science And Engineering

DIMENSION REDUCTION METHODOLOGY USING GROUP FEATURE SELECTION

Feature Selection Has Become A Remarkable Research Topic In Recent Years. It Is An Efficient Methodology To Tackle The Information With High Dimension. The Underlying Structure Has Been Neglected By The Previous Feature Choice Technique And...

Shrutika Kolhe, Prof. Prarthana Deshkar
Vol 3, Issue 4 (April 2017) Computer Science And Engineering

PREDICTIVE MODEL BASED ELECTRICAL CONSUMPTION

The Data Mining Is The Task Of Analyzing Of Large Quantities Of Data To Derive Previously Unknown, Interesting Patterns Such As Groups Of Data Records, Unusual Records , And Dependencies. It Has The Ability To Turn Raw Data Into Useful Info...

Diana Paul, Dhivya V, R.Kanagaraj
Vol 3, Issue 4 (April 2017) CSE/IT

A REVIEW PAPER ON DENGUE DISEASE FORCASTING USING DATA MINING TECHNIQUES

Data Mining Is A Standout Amongst The Most Comprehensively And Rousing Zones Of Research With The Motivation Behind Discovering Significant Information From Vast Data Collections In Medical Ventures, Data Mining Gives Many Points Of Interes...

Vandana Rajput , Prof. Amit Manjhvar
Vol 3, Issue 3 (March 2017) Data Mining

DISCOVERY OF HIERARCHICAL TEMPORAL ASSOCIATION RULES USING FP - GROWTH

In The First Scan, It Finds Support For Each Item And Sort The Frequent Item In Descending Order. In The Second Scan, Two Transactions Are Checked At A Time And It Is Overlapped If It Follows Same Path. In Each Transaction, The Maximum Comm...

Bharathwaj.S, Gowtham.N, Harish.C, Mrs.Anuradha.R

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