DocumentCode
2528381
Title
Multi-agent Based Intelligence Generation from Very Large Datasets
Author
Qayumi, Karima
Author_Institution
Inst. of Inf., Tallinn Univ., Tallinn, Estonia
fYear
2015
fDate
9-13 March 2015
Firstpage
502
Lastpage
504
Abstract
The spread of computing Clouds and block-chain technology enable a trend towards highly decentralized and distributed management of potentially very large datasets. Existing big data-mining systems are not designed for this nextlevel scale of distribution and decentralization. Additionally, the required system scalability is currently not given for very large datasets. We aim at solving these problems with a scalable distributed multi-agent system based approach.
Keywords
Big Data; data analysis; data mining; multi-agent systems; very large databases; big data-mining systems; block-chain technology; cloud computing; decentralized management; distributed management; multi-agent based intelligence generation; scalable distributed system based approach; very large datasets; Analytical models; Artificial intelligence; Big data; Cloud computing; Data mining; Multi-agent systems; Scalability; multi-agent system; business-intelligence mining; big data; hyper distribution; and decentralization;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Engineering (IC2E), 2015 IEEE International Conference on
Conference_Location
Tempe, AZ
Type
conf
DOI
10.1109/IC2E.2015.96
Filename
7092969
Link To Document