Title :
Multi-agent Based Intelligence Generation from Very Large Datasets
Author_Institution :
Inst. of Inf., Tallinn Univ., Tallinn, Estonia
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;
Conference_Titel :
Cloud Engineering (IC2E), 2015 IEEE International Conference on
Conference_Location :
Tempe, AZ
DOI :
10.1109/IC2E.2015.96
