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Adaptive Visual Clustering for Mixed-Initiative Information Structuring.

Authors :
Duman, Hakan
Healing, Alex
Ghanea-Hercock, Robert
Source :
Human Interface & the Management of Information. Designing Information Environments; 2009, p384-393, 10p
Publication Year :
2009

Abstract

Cyclone is a mixed-initiative and adaptive clustering and structure generation environment which is capable of learning categorization behavior through user interaction as well as conducting auto-categorization based on the extracted model. The strength of Cyclone resides in its integration of several visualization and interface techniques with data mining and AI learning processes. This paper presents the intuitive visual interface of Cyclone which empowers the user to explore, analyze, exploit and structure unstructured information from various sources generating a personalized taxonomy in real-time and on-the-fly. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783642025556
Database :
Complementary Index
Journal :
Human Interface & the Management of Information. Designing Information Environments
Publication Type :
Book
Accession number :
76838774
Full Text :
https://doi.org/10.1007/978-3-642-02556-3_44