UGC Approved Journal no 63975(19)

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

Volume 5 Issue 1
January-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1801003


Registration ID:
170643

Page Number

11-16

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Title

Data Mining Designing With Large Data Set

Abstract

Data warehouse is an important contemporary issue for many organizations and is relatively a new field in the realm of information technology. As data warehousing is a new field, little research has been done regarding the characteristics of academic data and the complexity of analyzing such data. Educational institutions measure success very differently from business-oriented organizations and the analyses that are meaningful in such environments pose unique problems in data warehousing. The purpose of this thesis is to provide a security of data ware house In the present work we have introduced a vernam cipher bit wise encryption method.

Key Words

Data Mining Designing With Large Data Set

Cite This Article

"Data Mining Designing With Large Data Set", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.11-16, January-2018, Available :http://www.jetir.org/papers/JETIR1801003.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

"Data Mining Designing With Large Data Set", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp11-16, January-2018, Available at : http://www.jetir.org/papers/JETIR1801003.pdf

Publication Details

Published Paper ID: JETIR1801003
Registration ID: 170643
Published In: Volume 5 | Issue 1 | Year January-2018
DOI (Digital Object Identifier):
Page No: 11-16
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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