Document (#12423)

Author

Krutulis, J.D.
Jacob, E.K.

Title

¬A theoretical model for the study of emergent structure in adaptive information networks

Source

Connectedness: information, systems, people, organizations. Proceedings of CAIS/ACSI 95, the proceedings of the 23rd Annual Conference of the Canadian Association for Information Science. Ed. by Hope A. Olson and Denis B. Ward

Imprint

Alberta : Alberta University, School of Library and Information Studies

Year

1995

Pages

S.12-18

Abstract

Attempts to automate classification have focused on mimicking the intellectual processes whereby human classifiers assign entities to mutually exclusive groups that exhibit or more shared characteristics. A more viable approach might be to construct an adaptive retrieval system that produces groupings of related entities by generating dynamic categories based on document content and on the system's emergent structure as it adapts to modifications in the database and to observed patterns of access. Presents a theoretical model for adaptive information networks using relevance feedback and genetic algorithms to generate emergent structure

Theme

Automatisches Indexieren

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