The International Journal of Big Data Technologies, Computing, and Analytics

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About Us

The International Journal of Big Data Technologies, Computing, and Analytics is a peer-reviewed journal that provides a platform for publishing original academic research and review articles in the field of computer science. The journal focuses on technologies and methodologies for collecting, storing, processing, managing, analyzing, and extracting meaningful insights from large and complex datasets. It also covers the integration of Artificial Intelligence, Machine Learning, Cloud Computing, IoT, distributed computing, and advanced analytics with Big Data systems.

Aim

The journal aims to bridge theoretical advances and practical deployment and offer a global platform on which researchers, academics, industry professionals and practitioners can submit original research, innovative methodologies, emerging technologies and practical applications which deal with difficult problems concerning large-scale and complex data. It publishes research and review articles focusing on (but not limited to) the following areas:

Focus and Scope

Big Data Technologies and Applications Big Data Analytics and Data Mining Artificial Intelligence and Machine Learning for Big Data Deep Learning and Predictive Analytics Big Data Processing and Management Distributed and Parallel Computing Cloud Computing and Big Data Platforms Edge and Fog Computing for Big Data Real-Time and Stream Data Processing Internet of Things (IoT) and Sensor Data Analytics Data Lakes, Data Warehousing, and Data Integration NoSQL Databases and Distributed Databases

Hadoop, Apache Spark, Kafka, and Big Data Frameworks Business Intelligence and Decision Analytics Predictive and Prescriptive Analytics Data Visualization and Visual Analytics Natural Language Processing and Text Analytics Social Media and Web Data Analytics Healthcare and Biomedical Big Data Analytics Financial and Business Data Analytics Smart Cities and Urban Big Data Industrial Big Data and Smart Manufacturing Big Data in Supply Chain and Logistics