infoclouds

Mining Large Data Series Collections: Motif, Discord and Anomaly Discovery

Speaker: Michele Linardi, Ph.D. candidate at Paris Descartes University

Mar 5, 17:00 - 18:00

B3 L5 R5209

In the last fifteen years, data series motif and discord discovery have emerged as two useful primitives for data series mining, with applications to many domains, including robotics, entomology, seismology, medicine, and climatology.

InfoCloud celebrated the first 100 citations from an InfoCloud Student

1 min read · Tue, Mar 8 2016

InfoCloud celebrated the first 100 citations from an InfoCloud Student.

New Data Mining approach makes recurring patterns easier to be spotted

1 min read · Wed, Jan 18 2017

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.