Text Mining Business Intelligence: a small sample of what words can say

被引：27

作者：

Ishikiriyama, Celia Satiko ^{[1
]}

Miro, Diego ^{[2
]}

Simoes Gomes, Carlos Francisco ^{[1
]}

机构：

[1] Univ Fed Fluminense, Sch Engn, BR-24210240 Niteroi, RJ, Brazil

[2] Escola Nacl Ciencias Estat, BR-20231050 Rio De Janeiro, Brazil

来源：

3RD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2015 | 2015年 / 55卷

关键词：

Business Intelligence; Data Analysis; Text Mining; R-project;

D O I：

10.1016/j.procs.2015.07.044

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Business Intelligence (BI) has been an object of study for many researchers around the world. From collecting, treating and storing data, to systems solutions, database administration, and analysis techniques applied to various fields such as retail, call centers, financial institutions, and telecommunication. This paper aims to present a small sample of what is possible to achieve by analyzing text data from academic papers by using the software R-project. The methodology consisted of analyzing a sample of the top 35 most relevant papers regarding Business Intelligence, obtained through an academic search engine and offered the results of this text mining study. (C) 2015 Published by Elsevier B.V.

引用

页码：261 / 267

页数：7

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