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Welcome to Machine Intelligence and kNowledge Engineering (MINE) Laboratory. Our research
mainly focuses on developing algorithms for machine learning and data mining
to discover knowledge from complex and large-scale data sets for diverse
applications. Currently our main research themes are summarized as follows.
Research Themes
Algorithms of
Data mining, machine learning and artificial intelligence
Large and
complex data mining, data stream processing and mining, scientific data
mining
Pattern
analysis and classification
Clustering
algorithms
Data
management in grid and in cloud
Autonomic
computing, High Performance Computing, Network management
Computer
network security
Anomaly
detection, intrusion detection, fault diagnosis, network traffic analysis
Recommender
systems
Web mining
Bioinformatics
Information
retrieval
Transportation
management
Computer
vision
Research Projects
Sole PI:
Algorithms and applications of machine intelligence and knowledge discovery
2011- 2016
KAUST BASE,
> 1.7M USD
PI: LIQUIDx - An Elasticity Framework for High Performance
Computing Clouds
2012
KAUST-IBM Joint project, 657K USD
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