Skip to main content
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
Home
Study
Prospective Students
Current Students
Internships
Research
Research Overview
Research Areas
Research Groups
Programs
Applied Mathematics and Computational Sciences
Computer Science
Electrical and Computer Engineering
Statistics
People
All People
Faculty
Affiliate Faculty
Instructional Faculty
Research Scientists
Research Staff
Postdoctoral Fellows
Students
Alumni
Administrative Staff
News
Events
About
Who We Are
Message from the Dean
Leadership Team
Apply
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.
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.
