期刊簡介預(yù)計審稿時間： 13 Weeks

Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal encourages in-depth investigative reports and case studies on big data technologies to facilitate the exchange of knowledge and innovation in practice.

In the wave of big data, we face many challenges, and these challenges include, but are not limited to, the capture and storage of data. With the explosive growth of data volume, how to efficiently store and manage this data has become a key issue. In addition, the search, sharing and analysis of data are also core issues in the field of big data. How to quickly and accurately extract useful information from massive data is an important direction for the development of big data technology.

《Journal Of Big Data》是一本專注于大數(shù)據(jù)領(lǐng)域的學術(shù)期刊，它不僅歡迎深度學習算法的研究，而且涵蓋了大數(shù)據(jù)應(yīng)用的廣泛領(lǐng)域。該雜志特別鼓勵對大數(shù)據(jù)技術(shù)進行深入的調(diào)查報告和案例研究，以促進知識的交流和實踐的創(chuàng)新。

在大數(shù)據(jù)的浪潮中，我們面臨著許多挑戰(zhàn)，這些挑戰(zhàn)包括但不限于數(shù)據(jù)的捕獲和存儲問題。隨著數(shù)據(jù)量的爆炸性增長，如何有效地存儲和管理這些數(shù)據(jù)成為了一個關(guān)鍵問題。此外，數(shù)據(jù)的搜索、分享和分析也是大數(shù)據(jù)領(lǐng)域的核心議題。如何快速準確地從海量數(shù)據(jù)中提取有用信息，是大數(shù)據(jù)技術(shù)發(fā)展的重要方向。

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