期刊簡(jiǎn)介預(yù)計(jì)審稿時(shí)間：

Ieee Transactions On Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications.

Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure,big data standards, big data performance analyses, intelligence from big data,scientific discovery from big data security, privacy,and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.

Ieee Transactions On Big Data 發(fā)表以大數(shù)據(jù)為主要關(guān)注點(diǎn)的同行評(píng)審文章。這些文章將提供跨學(xué)科的創(chuàng)新研究思路和大數(shù)據(jù)應(yīng)用成果，包括新穎的理論、算法和應(yīng)用。

大數(shù)據(jù)的研究領(lǐng)域包括但不限于大數(shù)據(jù)分析、大數(shù)據(jù)可視化、大數(shù)據(jù)管理和管理、大數(shù)據(jù)語義、大數(shù)據(jù)基礎(chǔ)設(shè)施、大數(shù)據(jù)標(biāo)準(zhǔn)、大數(shù)據(jù)性能分析、大數(shù)據(jù)情報(bào)、大數(shù)據(jù)科學(xué)發(fā)現(xiàn)、安全、隱私以及大數(shù)據(jù)特有的法律問題。大數(shù)據(jù)在生成海量數(shù)據(jù)的領(lǐng)域中的應(yīng)用尤其令人感興趣。

《Ieee Transactions On Big Data》(IEEE大數(shù)據(jù)交易)編輯部通訊方式為445 HOES LANE, PISCATAWAY, USA, NJ, 08855-4141。如果您需要協(xié)助投稿或潤稿服務(wù)，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務(wù)十年，熟悉發(fā)表政策，可為您提供一對(duì)一投稿指導(dǎo)，避免您在投稿時(shí)頻繁碰壁，節(jié)省您的寶貴時(shí)間，有效提升發(fā)表機(jī)率，確保SCI檢索（檢索不了全額退款）。我們視信譽(yù)為生命，多方面確保文章安全保密，在任何情況下都不會(huì)泄露您的個(gè)人信息或稿件內(nèi)容。