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EUROPAR
1999
Springer
14 years 1 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
DEXAW
2002
IEEE
97views Database» more  DEXAW 2002»
14 years 1 months ago
Several Structures for Protecting the Routes of Mobile Agents Dispatched in Parallel
For mobile agents to be effective in practice, they have to be securely and efficiently deployed. In this paper, we propose and discuss several route structures and methods for mo...
Yan Wang 0002, Kian-Lee Tan, Xiaolin Pang
IPPS
2000
IEEE
14 years 1 months ago
Using Logs to Increase Availability in Real-Time Main-Memory Database
Abstract. Real-time main-memory databases are useful in real-time environments. They are often faster and provide more predictable execution of transactions than disk-based databas...
Tiina Niklander, Kimmo E. E. Raatikainen
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
14 years 2 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
SSD
1993
Springer
91views Database» more  SSD 1993»
14 years 26 days ago
Volumes From Overlaying 3-D Triangulations in Parallel
Consider a polyhedron that is triangulated into tetrahedra in two different ways. This paper presents an algorithm, and hints for implementation, for finding the volumes of the i...
Wm. Randolph Franklin, Mohan S. Kankanhalli