Pervasive Software® Inc. (NASDAQ: PVSW), a global value leader in data management software, announced today at KDD-09 it will demonstrate a data mining engine that, based on internal benchmarks, is dramatically faster and more scalable than current alternatives. Its innovative parallel data mining efforts will be spotlighted at the 15th Annual Conference on Knowledge Discovery and Data Mining (KDD-09) June 28-July 1 in Paris, France.
“One of the most interesting benchmarks today is the Netflix dataset, with more than 100 million movie reviews created by more than 480,000 users and covering a set of more than 17,000 movies,” said Pervasive Innovation Labs Director Nena Marín, Ph.D. “In the process of experimentation and research on parallel data mining, we discovered compelling results with Pervasive DataRush. We ran k-means clustering algorithm on the entire Netflix dataset with k=30 in just 17 seconds, and significantly, that was on a $2,500 commodity 8-core server.”
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