UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1805689


Registration ID:
182640

Page Number

535-537

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Title

A HYBRID APPROACH TO DATA MINING ALGORITHMS FOR CLASSIFICATION

Abstract

These days in data investigation huge volume of data is generated each and every second. This induced data is massive to the point that it is hazardous to find the suitable data went for a positive reason on requirement. Data mining is a strategy to convey a system to selection the reason point by point data in the appropriate extend for the policymaking determination. The numerical capacities of data mining algorithms can be consolidated, changed and refined to deliver a more productive Algorithm for the order of data indexes. The data characterization is finished by the classifier additionally in view of capacity on which the entire algorithmic productivity is depended. Some top data mining algorithm require considerable amount of time to classify the data and if the data element is similar to many classes then they do not ensure the strong relation of data element with the either class. This paper gives an approach towards a hybrid data mining algorithm that combines some of the features of existing data mining algorithms. The paper gives an approach to develop hybrid data mining algorithm to classify the large data sets. This algorithm uses some of the key features of existing k-means algorithm and support vector machine algorithm.

Key Words

Data Mining, K Means, Support vector Machine, Hybrid Algorithm

Cite This Article

"A HYBRID APPROACH TO DATA MINING ALGORITHMS FOR CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.535-537, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805689.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A HYBRID APPROACH TO DATA MINING ALGORITHMS FOR CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp535-537, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805689.pdf

Publication Details

Published Paper ID: JETIR1805689
Registration ID: 182640
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 535-537
Country: Faizabad, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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