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學術(shù)動態(tài)

學術(shù)動態(tài)

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日本關(guān)西大學Naoki Katoh教授學術(shù)報告

作者: 編輯: 發(fā)布時間:2016-09-12

題    目:Foundations of Innovative Algorithms towards Big Data

報 告 人:Prof. Naoki Katoh,日本關(guān)西大學

時    間:2016年9月13日(星期二)上午10:00-12:00

地    點:bwin必贏唯一官網(wǎng)313會議室

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間處理范式,包括亞線性時間算法,亞線性數(shù)據(jù)結(jié)構(gòu)和亞線性建模。

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