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Applying knowledge discovery in healthcare repositories : towards multi-agents collaboration

conference contribution
posted on 06.12.2017, 00:00 by Syed HassanSyed Hassan, Evelyn HovengaEvelyn Hovenga, Sebastian GardeSebastian Garde
This paper presents a case for an intelligent agent based framework for knowledge discovery in a distributed environment comprising multiple heterogeneous data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user oriented, packaged, value-added decision-support/strategic planning services for professionals, managers and policy makers of an organization, without the need for a priori technical knowledge. Since effective progress of an organization is grounded in good communication, experience sharing, continuous learning and proactive actions, we present an Agent-based Data Mining Info-structure (ADMI) that deploys a suite of Data Mining (DM) algorithms coupled with intelligent agents to facilitate data access, DM query specification, DM algorithm selection and DM result visualization—i.e. automated generation of data-mediated decision-support/strategic-planning services.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

1

End Page

11

Number of Pages

11

Start Date

01/01/2005

ISBN-10

0946881324

ISBN-13

9780946881321

Location

Wrexham

Publisher

North East Wales Institute of Higher Education

Place of Publication

Wrexham

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics; TBA Research Institute;

Era Eligible

Yes

Name of Conference

International Conference on Internet Technologies and Applications

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