Big Data Mining and Analytics publishes scholarly documents describing recent fundamental contributions in the areas of Databases & Information Systems and Machine Learning & Artificial intelligence. Big Data Mining and Analytics provides high-quality, original articles where all submitted articles are peer reviewed to guarantee the highest quality. The journal encourages submissions from the research community where the priority will be on the originality and the practical impact of the reported work.
Big Data Mining and Analytics is covered by a wide range of abstracting/indexing services including Scopus, Journal Citation Reports ( Clarivate ) and Guide2Research. Many renowned researchers considered this journal to publish their scholarly documents including Yike Guo, Yi Pan, Guoliang Li and Minyi Guo.
For more information on the guidelines and submission prerequisites for authors, you are advised to consult the journal website for Big Data Mining and Analytics at https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=8254253 .
