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HIPC
2003
Springer
14 years 2 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
ICPPW
2008
IEEE
14 years 3 months ago
Disparity: Scalable Anomaly Detection for Clusters
In this paper, we describe disparity, a tool that does parallel, scalable anomaly detection for clusters. Disparity uses basic statistical methods and scalable reduction operation...
Narayan Desai, Rick Bradshaw, Ewing L. Lusk
SBACPAD
2006
IEEE
148views Hardware» more  SBACPAD 2006»
14 years 3 months ago
Scalable Parallel Implementation of Bayesian Network to Junction Tree Conversion for Exact Inference
We present a scalable parallel implementation for converting a Bayesian network to a junction tree, which can then be used for a complete parallel implementation for exact inferen...
Vasanth Krishna Namasivayam, Animesh Pathak, Vikto...
AINA
2007
IEEE
14 years 3 months ago
Database-Driven Grid Computing with GridBASE
The GridBASE framework for database-driven grid computing is presented. The design and a prototype implementation of the framework is discussed. Industry-strength database technol...
Hans De Sterck, Chen Zhang, Aleks Papo
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 8 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...