UGC Approved Journal no 63975

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

Volume 3 Issue 10
October-2016
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1610016


Registration ID:
160460

Page Number

123-127

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Title

Data Mining Revolution On High Dimensional Data

Abstract

Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Key Words

Dataset, Clustering, Big data.

Cite This Article

"Data Mining Revolution On High Dimensional Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 10, page no.123-127, October-2016, Available :http://www.jetir.org/papers/JETIR1610016.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 Revolution On High Dimensional Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 10, page no. pp123-127, October-2016, Available at : http://www.jetir.org/papers/JETIR1610016.pdf

Publication Details

Published Paper ID: JETIR1610016
Registration ID: 160460
Published In: Volume 3 | Issue 10 | Year October-2016
DOI (Digital Object Identifier):
Page No: 123-127
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162


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