【摘要】：為了解決實(shí)際問題,大數(shù)據(jù)分析處理系統(tǒng)需要獲取數(shù)據(jù),然而實(shí)際場景中收集到的實(shí)際數(shù)據(jù)通常不完備.另外,大多數(shù)問題的解決方案通常是由問題引導(dǎo)或者僅僅進(jìn)行數(shù)據(jù)分析,運(yùn)行參數(shù)調(diào)整和設(shè)定帶有較大的盲目性,難以達(dá)到應(yīng)用的智能性.為此,文中提出平行數(shù)據(jù)的概念和框架,根據(jù)實(shí)際數(shù)據(jù)經(jīng)計(jì)算實(shí)驗(yàn)產(chǎn)生真正的虛擬大數(shù)據(jù),結(jié)合默頓定律,以期待的解決方案與問題進(jìn)行廣義對偶,引導(dǎo)大數(shù)據(jù)聚焦到實(shí)際問題.實(shí)際數(shù)據(jù)與虛擬數(shù)據(jù)動(dòng)態(tài)互動(dòng),平行演化,形成一個(gè)虛實(shí)相生、數(shù)據(jù)動(dòng)態(tài)變化的過程,最終使數(shù)據(jù)具備智能,進(jìn)而解決未知的問題.平行數(shù)據(jù)不但是一種數(shù)據(jù)表示形式,更是一種數(shù)據(jù)演化機(jī)制與方式,其特色是虛實(shí)互動(dòng),所有數(shù)據(jù)的動(dòng)力學(xué)軌跡構(gòu)成了數(shù)據(jù)動(dòng)力學(xué)系統(tǒng).平行數(shù)據(jù)為數(shù)據(jù)處理、表示、挖掘和應(yīng)用提供了一個(gè)新的范式.
[Abstract]:In order to solve the practical problems, big data analysis and processing system needs to obtain data, but the actual data collected in the actual scene is usually incomplete. In addition, most of the solutions to the problem are usually guided by the problem or just for data analysis, and the adjustment and setting of the running parameters are blind, so it is difficult to achieve the intelligence of the application. For this reason, this paper puts forward the concept and framework of parallel data, produces real virtual big data according to the actual data through calculation and experiment, and combines Merton's law to carry on the generalized duality with the expected solution and the problem. Guide big data to focus on practical problems. Real data and virtual data dynamic interaction, parallel evolution, the formation of a virtual reality, the dynamic change of data process, and finally make the data intelligent, and then solve unknown problems. Parallel data is not only a data representation, but also a data evolution mechanism and mode, which is characterized by virtual and real interaction. The dynamic trajectories of all the data constitute the data dynamics system. Parallel data provides a new paradigm for data processing, representation, mining and application.
【作者單位】： 中國石油大學(xué)(華東)計(jì)算機(jī)與通信工程學(xué)院;中國科學(xué)院自動(dòng)化研究所復(fù)雜系統(tǒng)管理與控制國家重點(diǎn)實(shí)驗(yàn)室;青島智能產(chǎn)業(yè)技術(shù)研究院平行工作室;西安交通大學(xué)人工智能與機(jī)器人研究所;國防科學(xué)技術(shù)大學(xué)軍事計(jì)算實(shí)驗(yàn)與平行系統(tǒng)技術(shù)研究中心;
【基金】：國家自然科學(xué)基金重點(diǎn)項(xiàng)目(No.61533019,71232006,61233001);國家自然科學(xué)基金項(xiàng)目(No.61702519,61309024) 科技部創(chuàng)新方法工作專項(xiàng)項(xiàng)目(No.2015IM010300) 中央高�；究蒲袠I(yè)務(wù)費(fèi)項(xiàng)目(No.2015020031) 中石油創(chuàng)新基金項(xiàng)目(No.2016D-5007-0305) 山東省自然科學(xué)基金項(xiàng)目(No.ZR2014FM038) 山東省重點(diǎn)研發(fā)計(jì)劃(No.2017GGX10140)資助~~
【分類號】：TP311.13
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本文編號：2495717