IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Mining and Business Intelligence: A Bibliometric Analysis

Data Mining and Business Intelligence: A Bibliometric Analysis
View Sample PDF
Author(s): Ana Azevedo (CEOS.PP, ISCAP, Polytechnic of Porto, Portugal)
Copyright: 2021
Pages: 12
Source title: Integration Challenges for Analytics, Business Intelligence, and Data Mining
Source Author(s)/Editor(s): Ana Azevedo (CEOS.PP, ISCAP, Polytechnic of Porto, Portugal) and Manuel Filipe Santos (Algoritmi Centre, University of Minho, GuimarĂ£es, Portugal)
DOI: 10.4018/978-1-7998-5781-5.ch001

Purchase

View Data Mining and Business Intelligence: A Bibliometric Analysis on the publisher's website for pricing and purchasing information.

Abstract

From the middle of this second decade of the 21st century, analytics has become commonly associated with the topics business intelligence and data mining. Data mining (DM) is being applied with success in business intelligence (BI) environments and several examples of applications can be found. BI and DM have different roots and, as a consequence, have significantly different characteristics. DM came up from scientific environments; thus, it is not business oriented. DM tools still demand heavy work in order to obtain the intended results. On the contrary, BI is rooted in industry and business. As a result, BI tools are user-friendly. This chapter reflects on these differences from a historical perspective. Starting with a separated historical perspective of each one, analytics, BI, and DM, the author then discusses how they converged when DM is used and integrated in BI environments with success.

Related Content

Ana Azevedo. © 2021. 12 pages.
Atik Kulakli. © 2021. 31 pages.
Mouhib Alnoukari. © 2021. 19 pages.
Arun Thotapalli Sundararaman. © 2021. 28 pages.
Mohammad Kamel Daradkeh. © 2021. 22 pages.
Roumiana Ilieva, Malinka Ivanova, Tzvetilina Peycheva, Yoto Nikolov. © 2021. 30 pages.
Walisson Ferreira Carvalho, Luis Zarate. © 2021. 16 pages.
Body Bottom