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AUSAI
2003
Springer
14 years 26 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
IPPS
1999
IEEE
13 years 12 months ago
Parallel Algorithms for 3D Reconstruction of Asymmetric Objects from Electron Micrographs
We present new parallel algorithms for 3D reconstruction of objects from 2D projections and their application for the determination of the structure of macromolecules from electro...
Robert E. Lynch, Dan C. Marinescu, Hong Lin, Timot...
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 2 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...
EDBT
2009
ACM
164views Database» more  EDBT 2009»
14 years 7 days ago
Fast object search on road networks
In this paper, we present ROAD, a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search...
Ken C. K. Lee, Wang-Chien Lee, Baihua Zheng
EUROPAR
2009
Springer
13 years 5 months ago
A Parallel Point Matching Algorithm for Landmark Based Image Registration Using Multicore Platform
Abstract. Point matching is crucial for many computer vision applications. Establishing the correspondence between a large number of data points is a computationally intensive proc...
Lin Yang, Leiguang Gong, Hong Zhang, John L. Noshe...