UGC Approved Journal no 63975(19)

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Published in:

Volume 3 Issue 12
December-2016
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1612023


Registration ID:
160547

Page Number

156-159

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Title

A Process For Online Dynamic Learning With Cost Sensitivity In Data Mining

Abstract

ABSTRACT: Cost-sensitive classification considers the varying costs of particular incorrect sorting. Both cost-sensitive classification and online learning have been broadly researched in data mining and machine learning communities, respectively. However, very restricted study addresses an essential intersecting issue, that is, “Cost-Sensitive Online Classification". Cost of what is misclassified is definitely not considered for the measuring execution in general methodologies; cost sensitive classification considers expense of the misclassified label. In this paper we proposed, formally study this issue, and propose a new framework for Cost-Sensitive Online Classification by directly surging cost-sensitive symptoms implementing online gradient descent methods. malicious Uniform Resource Locator (URL) detection is an essential issue in web search and mining, which plays a complex role in internet protection.

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"A Process For Online Dynamic Learning With Cost Sensitivity In Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 12, page no.156-159, December-2016, Available :http://www.jetir.org/papers/JETIR1612023.pdf

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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 Process For Online Dynamic Learning With Cost Sensitivity In Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 12, page no. pp156-159, December-2016, Available at : http://www.jetir.org/papers/JETIR1612023.pdf

Publication Details

Published Paper ID: JETIR1612023
Registration ID: 160547
Published In: Volume 3 | Issue 12 | Year December-2016
DOI (Digital Object Identifier):
Page No: 156-159
Country: loni, maharashtar, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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