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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