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2012f.01063 Hung, Shao-Shin Chiu, Chih Ming Fu, Tsou Tsun Chen, Jung-Tsung Tsaih, Derchian Tsay, Jyh-Jong Clustering spatial data for aggregate query processing in walkthrough: a hypergraph approach. Pan, Zhigeng (ed.) et al., Transactions on Edutainment VII. Berlin: Springer (ISBN 978-3-642-29049-7/pbk; 978-3-642-29050-3/ebook). Lecture Notes in Computer Science 7145. Journal Subline, 86-98 (2012). 2012 Berlin: Springer EN R60 walkthrough data placement hypergraph prefetching clustering

doi:10.1007/978-3-642-29050-3_8

Summary: Nowadays, classical 3D object management systems use only direct visible properties and common features to model relationships between objects. In this paper we propose a new object-oriented hypergraph-based clustering (OHGC) approach based on a behavioral walkthrough system that uses traversal patterns to model relationships between users and exploits semantic-based clustering techniques, such as association, intra-relationships, and inter-relationships, to explore additional links throughout the behavioral walkthrough system. The final aim consists in involving these new links in prediction generation, to improve performance of walkthrough system. OHGC is evaluated in terms of response time and number of retrieved objects on a real traversal dataset.