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» Quantitative Association Analysis Using Tree Hierarchies
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 1 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
SIGGRAPH
1996
ACM
13 years 11 months ago
Hierarchical View-Dependent Structures for Interactive Scene Manipulation
The result of a scene manipulation is usually displayed by rerendering the entire image even if the change has affected only a small portion of it. This paper presents a system th...
Normand Brière, Pierre Poulin
ICCAD
2003
IEEE
123views Hardware» more  ICCAD 2003»
14 years 4 months ago
The Y-Architecture for On-Chip Interconnect: Analysis and Methodology
The Y-architecture for on-chip interconnect is based on pervasive use of 0-, 120-, and 240-degree oriented semi-global and global wiring. Its use of three uniform directions explo...
Hongyu Chen, Chung-Kuan Cheng, Andrew B. Kahng, Io...
ALGORITHMICA
2006
163views more  ALGORITHMICA 2006»
13 years 7 months ago
Building Large Phylogenetic Trees on Coarse-Grained Parallel Machines
Phylogenetic analysis is an area of computational biology concerned with the reconstruction of evolutionary relationships between organisms, genes, and gene families. Maximum likel...
Thomas M. Keane, Andrew J. Page, Thomas J. Naughto...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 7 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...