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

Distributed Data Mining

Distributed Data Mining
View Sample PDF
Author(s): Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece) and Ioannis Vlahavas (Aristotle University of Thessaloniki, Greece)
Copyright: 2009
Pages: 8
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch010

Purchase

View Distributed Data Mining on the publisher's website for pricing and purchasing information.

Abstract

The continuous developments in information and communication technology have recently led to the appearance of distributed computing environments, which comprise several, and different sources of large volumes of data and several computing units. The most prominent example of a distributed environment is the Internet, where increasingly more databases and data streams appear that deal with several areas, such as meteorology, oceanography, economy and others. In addition the Internet constitutes the communication medium for geographicallydistributed information systems, as for example the earth observing system of NASA (eos.gsfc.nasa.gov). Other examples of distributed environments that have been developed in the last few years are sensor networks for process monitoring and grids where a large number of computing and storage units are interconnected over a highspeed network.

Related Content

. © 2019. 19 pages.
. © 2019. 44 pages.
. © 2019. 23 pages.
. © 2019. 18 pages.
. © 2019. 11 pages.
. © 2019. 18 pages.
. © 2019. 31 pages.
Body Bottom