Scienxt International Journal of Big Data (SIJBD)

SIJBD – Scienxt Journal of Big Data, Double blind peer-reviewed Journal, disseminates the most recent findings and innovations in various fields of Big Data in the form of Original Research, Reviews, Case Studies, Opinions, etc. Journal maintains a Quick Publication process with strict peer review to enhance the quality of content. Every submitted manuscript undergoes peer review by the subject matter experts under the supervision of the Editor-in-Chief or assigned Editorial Board member of the Journal.

The Journal also publishes conference proceedings.

Scope & Focus

SIJBD Journal has the following scope and focus but, not limited to these: Enabling Technologies For Big Data, Big Data Platforms, Big Data Storage Platforms For Large Scale Data Storage, Big Data Streaming Platforms For Fast Data, Big Data Applications (Machine Learning, Big Data Machine Learning With Spark, Big Data Applications (Graph Processing), Mining Data Streams, Hadoop, Frameworks, Internet Of Things, Data Mining, Deep Learning.

You can submit your manuscript(s) online at  info@scienxt.com , scienxt@gmail.com