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

Internet Data Mining Using Statistical Techniques

Internet Data Mining Using Statistical Techniques
View Sample PDF
Author(s): Kuldeep Kumar (Bond University, Australia)
Copyright: 2005
Pages: 6
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch287

Purchase

View Internet Data Mining Using Statistical Techniques on the publisher's website for pricing and purchasing information.

Abstract

Data mining has emerged as one of the hottest topics in recent years. It is an extraordinarily broad area and is growing in several directions. With the advancement of the Internet and cheap availability of powerful computers, data is flooding the market at a tremendous pace. However, the technology for navigating, exploring, visualising, and summarising large databases is still in its infancy. Internet data mining is the process of collecting, analysing, and decision making while the data is being collected on the Internet. In most of the financial applications, data is updated every second or minute or hour. By using Internet data-mining tools, a decision can be made as soon as data are updated.

Related Content

Adeyinka Tella, Oluwakemi Titilola Olaniyi, Aderinola Ololade Dunmade. © 2021. 24 pages.
Md. Maidul Islam. © 2021. 17 pages.
Peterson Dewah. © 2021. 23 pages.
Lungile Precious Luthuli, Thobekile K. Buthelezi. © 2021. 14 pages.
Delight Promise Udochukwu, Chidimma Oraekwe. © 2021. 13 pages.
Julie Moloi. © 2021. 18 pages.
Mandisa Msomi, Lungile Preciouse Luthuli, Trywell Kalusopa. © 2021. 17 pages.
Body Bottom