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

User Approach to Knowledge Discovery in Networked Environment

User Approach to Knowledge Discovery in Networked Environment
View Sample PDF
Author(s): Rauno Kuusisto (Finnish Defence Force Technical Centre, Finland)
Copyright: 2010
Pages: 17
Source title: Data Mining in Public and Private Sectors: Organizational and Government Applications
Source Author(s)/Editor(s): Antti Syvajarvi (University of Lapland, Finland) and Jari Stenvall (Tampere University, Finland)
DOI: 10.4018/978-1-60566-906-9.ch018

Purchase

View User Approach to Knowledge Discovery in Networked Environment on the publisher's website for pricing and purchasing information.

Abstract

Collaboration and networking demands are increasing and lots of organizational communicative activities have moved into technical networks. Need to understand not only how to refine right information contents out of the available data mass but also what type of information is important in various information using situations has increased. This chapter delves into the problem area of finding ways to support users to find relevant, specific types of information that is related to various phases of operating in network. Establishing a network, planning operations and managing operations differ from each others what comes into information requirements. It will be shown via four generalized cases that information requirements vary depending on what phase of networking activity the organization is. Via those cases that are based on sufficiently broad empirical material it will be cleared that knowledge requirements differ from situation to another. This leads to a conclusion that flexible data mining and knowledge discovery systems shall be constructed.

Related Content

M. Govindarajan. © 2022. 23 pages.
Rajab Ssemwogerere, Wamwoyo Faruk, Nambobi Mutwalibi. © 2022. 33 pages.
Surabhi Verma, Ankit Kumar Jain. © 2022. 34 pages.
Kriti Aggarwal, Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar. © 2022. 25 pages.
Praneeth Gunti, Brij B. Gupta, Elhadj Benkhelifa. © 2022. 26 pages.
Yin-Chun Fung, Lap-Kei Lee, Kwok Tai Chui, Gary Hoi-Kit Cheung, Chak-Him Tang, Sze-Man Wong. © 2022. 13 pages.
Lap-Kei Lee, Kwok Tai Chui, Jingjing Wang, Yin-Chun Fung, Zhanhui Tan. © 2022. 16 pages.
Body Bottom