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infoclouds

New Data Mining approach makes recurring patterns easier to be spotted

1 min read · Wed, Jan 18 2017

News

supercomputing infoclouds Frequent subgraph mining algorithm

The ultimate answer is ScaleMine, cost-effective and agile scalable parallel frequent subgraph mining in a single large graph. Panagiotis Kalnis, Professor of Computer Science (CS), and the team from the KAUST Extreme Computing Research Center (ECRC), under the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division signed this novel approach.
kaust-cemse-panagotis-kalnis

Panagiotis Kalnis

Professor, Computer Science

supercomputing infoclouds

Professor Panos Kalnis is a leading researcher in big data, cloud computing, parallel and distributed systems and computing privacy for data mining and bioinformatics.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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