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學(xué)術(shù)動(dòng)態(tài)

學(xué)術(shù)動(dòng)態(tài)

學(xué)術(shù)活動(dòng)

日本關(guān)西大學(xué)Naoki Katoh教授學(xué)術(shù)報(bào)告

作者: 編輯: 發(fā)布時(shí)間:2016-09-12

題    目:Foundations of Innovative Algorithms towards Big Data

報(bào) 告 人:Prof. Naoki Katoh,日本關(guān)西大學(xué)

時(shí)    間:2016年9月13日(星期二)上午10:00-12:00

地    點(diǎn):bwin必贏唯一官網(wǎng)313會(huì)議室

A lot of attention has been paid to “Big Data” from the beginning of this century. Because

of huge data volume, theory of algorithm is now faced with a fundamental innovation. Under such

circumstances, we propose a new computation paradigm called “Sublinear Time Paradigm”. In order

to realize such paradigm, we develop three fundamental technologies:sublinear time algorithm,

sublinear data structure, and sublinear modeling. Integrating these three technologies,we establish

the foundations of algorithms for big data。

海量數(shù)據(jù)處理是大數(shù)據(jù)研究的基礎(chǔ)問題。本講座將介紹全新的亞線性時(shí)間處理范式,包括亞線性時(shí)間算法,亞線性數(shù)據(jù)結(jié)構(gòu)和亞線性建模。

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