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HPCC
2005
Springer
15 years 9 months ago
A Coarse Grained Parallel Algorithm for Closest Larger Ancestors in Trees with Applications to Single Link Clustering
Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
Albert Chan, Chunmei Gao, Andrew Rau-Chaplin
VLDB
2004
ACM
178views Database» more  VLDB 2004»
15 years 9 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
HIPC
2003
Springer
15 years 9 months ago
Double-Loop Feedback-Based Scheduling Approach for Distributed Real-Time Systems
The use of feedback control techniques has been gaining importance in real-time scheduling as a means to provide predictable performance in the face of uncertain workload. In this ...
Suzhen Lin, G. Manimaran
143
Voted
CEC
2009
IEEE
15 years 9 months ago
A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model
— This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3DHP-Side Chain model. This m...
César Manuel Vargas Benítez, Heitor ...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 10 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov