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》是一本专注于大数据领域的学术期刊，它不仅欢迎深度学习算法的研究，而且涵盖了大数据应用的广泛领域。该杂志特别鼓励对大数据技术进行深入的调查报告和案例研究，以促进知识的交流和实践的创新。

在大数据的浪潮中，我们面临着许多挑战，这些挑战包括但不限于数据的捕获和存储问题。随着数据量的爆炸性增长，如何有效地存储和管理这些数据成为了一个关键问题。此外，数据的搜索、分享和分析也是大数据领域的核心议题。如何快速准确地从海量数据中提取有用信息，是大数据技术发展的重要方向。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映Computer Science-Information Systems领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为8.6，平均审稿速度为 13 Weeks ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。