A Scalable Infrastructure of Interactive Evolutionary Computation to Evolve Services Online with Data

被引：0
|
作者：
Munetomo, Masaharu [1 ]
Bando, Shintaro [2 ]
机构：
[1] Hokkaido Univ, Informat Initiat Ctr, Sapporo, Hokkaido, Japan
[2] Hokkaido Univ, Grad Sch Informat Sci & Technol, Sapporo, Hokkaido, Japan
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA | 2013年
基金：
日本学术振兴会;
关键词：
online big data processing and evolution; interactive evolutionary computation; cloud platform as a service;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a scalable framework to process and evolve services online adaptively from big data obtained from their users employing interactive evolutionary computation realized on a scalable infrastructure as platform as a service. Instead of collecting/storing/processing/analyzing big data to improve services offline, the proposed framework enables us to evolve and optimize adaptively every when collecting data from users interactively.
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页数：1
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