Visual Data Exploration and Analysis
Visual Data Exploration and Analysis
SVDPACKC (Version 1.0) User''s Guide
SVDPACKC (Version 1.0) User''s Guide
Latent semantic linking over homogeneous repositories
DocEng '01 Proceedings of the 2001 ACM Symposium on Document engineering
An infrastructure for open latent semantic linking
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Collaborative visual interfaces to digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Visual Interfaces to Digital Libraries [JCDL 2002 Workshop]
Revised Papers from the Second Kyoto Workshop on Digital Cities II, Computational and Sociological Approaches
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
A kernel-based framework for image collection exploration
Journal of Visual Languages and Computing
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The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are applied for semantic data analysis. A modified Boltzman algorithm is used to layout documents in a two-dimensional space for interactive exploration. The approach was implemented to visualize retrieval results from two different databases: the Science Citation Index Expanded and theDido Image Bank.