Grand challenge: Streamlearner - Distributed incremental machine learning on event streams

DEBS 2017 - Proceedings of the 11th ACM International Conference on Distributed Event-Based Systems

Volumn , Issue , 2017, Pages 298-303

  Mayer, Christian ^a   Mayer, Ruben ^a   Abdo, Majd ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Complex event processing; Machine learning; Stream processing

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SYSTEMS PROGRAMMING; DISTRIBUTED COMPUTER SYSTEMS; EDUCATION; LEARNING SYSTEMS; ONLINE SYSTEMS; PATTERN RECOGNITION; SOFTWARE ARCHITECTURE;

COMPLEX EVENT DETECTION; COMPLEX EVENT PROCESSING; COMPLEX EVENT PROCESSING (CEP); DEBS GRAND CHALLENGES; INCREMENTAL MODELING; PATTERN RECOGNITION ACCURACIES; PROGRAMMING MODELS; STREAM PROCESSING;

PATTERN RECOGNITION SYSTEMS;

EID: 85023175474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3093742.3095103     Document Type: Conference Paper

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