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Business Intelligence: Achieving Fineness through Data, Text and Web Mining

by Jitendra Singh Tomar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 12
Year of Publication: 2015
Authors: Jitendra Singh Tomar
10.5120/ijca2015906691

Jitendra Singh Tomar . Business Intelligence: Achieving Fineness through Data, Text and Web Mining. International Journal of Computer Applications. 128, 12 ( October 2015), 46-52. DOI=10.5120/ijca2015906691

@article{ 10.5120/ijca2015906691,
author = { Jitendra Singh Tomar },
title = { Business Intelligence: Achieving Fineness through Data, Text and Web Mining },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 12 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number12/22929-2015906691/ },
doi = { 10.5120/ijca2015906691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:21:29.331557+05:30
%A Jitendra Singh Tomar
%T Business Intelligence: Achieving Fineness through Data, Text and Web Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 12
%P 46-52
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There is no more a dearth of information with business organization incorporating ICT at core of its business structure. The amount of data available has been enormously increasing with business growth, hence determining patterns and trends out of substantial data is a challenge. The mining technologies are used by the organization to quest limitless data for crucial insight and knowledge. Web, Data, and Text mining are the important tools applied by the organization to automate finding hidden patterns to formulate policies and achieve competitive advantages in all functional business areas. Through mining techniques applied on various data repositories, the business intelligence systems along with analytical tools could present valuable and competitive information to the planners so as to develop new avenues for business growth. The usage of text, data, and web mining is discussed in this paper with a witness that how it can address business leadership and risk management, and enhance business intelligence.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Text Mining Web Mining Business Intelligence Information Systems Knowledge Management.

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