Abstract. New emerging applications including genomic, multimedia, and geospatial technologies have necessitated the handling of complex application objects that are highly structu...
Tao Chen, Arif Khan, Markus Schneider, Ganesh Visw...
This paper presents the design and experimental evaluation of two dynamic load partitioning and balancing strategies for parallel Structured Adaptive Mesh Refinement (SAMR) applic...
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...
Abstract. In this paper we present the new data structure Colored Sector Search Tree (CSST ) for solving the Nearest-Foreign-Neighbor Query Problem (NFNQP ): Given a set S of n col...
Thomas Graf, V. Kamakoti, N. S. Janaki Latha, C. P...
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...