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User Approach to Knowledge Discovery in Networked Environment

User Approach to Knowledge Discovery in Networked Environment

Rauno Kuusisto
Copyright: © 2010 |Pages: 17
ISBN13: 9781605669069|ISBN10: 1605669067|EISBN13: 9781605669076
DOI: 10.4018/978-1-60566-906-9.ch018
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MLA

Kuusisto, Rauno. "User Approach to Knowledge Discovery in Networked Environment." Data Mining in Public and Private Sectors: Organizational and Government Applications, edited by Antti Syvajarvi and Jari Stenvall, IGI Global, 2010, pp. 358-374. https://doi.org/10.4018/978-1-60566-906-9.ch018

APA

Kuusisto, R. (2010). User Approach to Knowledge Discovery in Networked Environment. In A. Syvajarvi & J. Stenvall (Eds.), Data Mining in Public and Private Sectors: Organizational and Government Applications (pp. 358-374). IGI Global. https://doi.org/10.4018/978-1-60566-906-9.ch018

Chicago

Kuusisto, Rauno. "User Approach to Knowledge Discovery in Networked Environment." In Data Mining in Public and Private Sectors: Organizational and Government Applications, edited by Antti Syvajarvi and Jari Stenvall, 358-374. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-906-9.ch018

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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.

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