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Big Data Analytics and Business Intellect in the Cloud

Editorial Board
Lead Guest Editors:
  • Sathishkumar Karupusamy ()
Aims & Scope
In this Special Issue, we will explore innovative methods in the areas of business aptitude and data mining as well as specific methods dealing with the topic of Big Data and web data mining in the cloud. The advent of technologies such as the Internet of Things, Cloud Computing and the wide variety of social media applications, have led to organizations producing huge volumes of data in unified formats. Nowadays, ubiquitous access to information and applications leads people to adopt Cloud Computing in increasing degrees. Scrutinizing the data associated with cloud applications and operations provides indispensable knowledge for investors; techniques from business intelligence and data mining to extract relevant knowledge from data sources therefore constitutes an important vein of research in the field of Big Data and business intelligence. Big Data analytics is in high demand for computing efficiency, knowledge discovery, problem solving, and event prescription. However, it also poses great challenges in terms of processing, analytical modeling and management for organizations to turn Big Data into insightful information. This Special Issue therefore addresses a variety of issues and concerns in Big Data and Cloud Computing, including: searching and processing Big Data, implementing and modelling event and workflow systems, visualisation modelling and simulation, and aspects of social media. TOPICS: The goal of this Special Issue is to provide an opportunity to present work on state-of-the-art Big Data anlytics, Cloud Computing and data mining algorithms. The Special Issue aims to provide a snapshot of the latest advances in the contribution of evolutionary frameworks in Big Data mining and business analytics applications to contribute to optimization problems.Suitable topics include, but are not limited to
  • Techniques for mining unstructured, spatial-temporal, streaming and/or multimedia data
  • Machine learning from Big Data
  • Search and optimization for Big Data and distributed Big Data analytics
  • Value and performance of Big Data analytics
  • Data visualization and real world applications of Big Data analytics, such as cybercrime, e-commerce, and e-health
  • Forecasting models using Big Data analytics
  • Security and privacy in the Big Data era
  • Online community and Big Data analytics
  • Business analytics and decision support
  • Data mining and knowledge discovery
  • Data mining in science, engineering, and technologies
  • Dimensionality Reduction Techniques
  • Cloud computing and Big Data analytics models and paradigms
  • Failure detection and prediction in cloud
  • Cloud-Based Architectures for Big Data Analytics
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):

Cloud Systems
Submission Closed