發(fā)布時間：2018-05-19 03:02

  本文選題：車聯(lián)網(wǎng) + 大數(shù)據(jù)��； 參考：《包裝工程》2017年20期

【摘要】：目的為利用汽車大數(shù)據(jù)產(chǎn)生創(chuàng)新應(yīng)用方案提供路徑。方法分析汽車大數(shù)據(jù)的類型及創(chuàng)新應(yīng)用方向,并從數(shù)據(jù)的收集、使用和挖掘出發(fā),在數(shù)據(jù)感知、數(shù)據(jù)關(guān)聯(lián)、模式挖掘、數(shù)據(jù)開放和數(shù)據(jù)平臺使用等方面展開創(chuàng)新路徑的探索。結(jié)論提出了不同的大數(shù)據(jù)創(chuàng)新應(yīng)用路徑,以支持創(chuàng)新方案的產(chǎn)生。
[Abstract]:Objective to provide a path for generating innovative applications using automotive big data. Methods the types and innovative application directions of automobile big data were analyzed, and the innovative paths of data perception, data association, pattern mining, data opening and data platform use were explored from data collection, usage and mining. Conclusion different innovative application paths of big data are proposed to support the emergence of innovative schemes.
【作者單位】： 同濟(jì)大學(xué);
【基金】：上海市設(shè)計學(xué)IV類高峰學(xué)科資助項(xiàng)目(DA17003)
【分類號】：TP311.13;U495
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本文編號：1908410