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BigDaCI 2021 : 6th International Conference on Big Data Analytics, Data Mining and Computational Intelligence

Online
Event Date: Jul 21, 2021 - Jul 23, 2021
Submission Deadline: Jan 29, 2021
Notification of Acceptance: Mar 01, 2021
Camera Ready Version Due : Mar 29, 2021

About

The conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence.

Call For Paper

BigDaCI’21 will focus on the following themes:

Big Data Algorithms and Architectures
– Foundations of big data processing
– Programming Techniques
– Analytics and Metrics
– Representation Formats
– Cloud Computing Techniques
– Mobile and Pervasive Computing
– Data Management
– Data Quality
– Social Network
– Protection, Integrity and Privacy
– Distributed Data Mining
– Visualization

Big Data Applications
– Web Intelligence
– Humanities
– Stock Market Analysis
– Scalable Cloud Data Management
– Privacy and Security
– Geosciences
– Manufacturing and Supply Chains
– Earth Science
– Biomedical Informatics
– High dimensional data
– Social Networks
– B2B Marketing and Sales
– Healthcare
– Sustainable development
– Advanced Manufacturing

Computational Intelligent Frameworks for Big Data Processing
– Artificial Neural Networks and Learning methods
– Knowledge based systems
– Uncertainty management
– Global optimization methods
– Intelligent Control Systems
– Intelligent Internet Systems
– Intelligent Software Systems
– Parallel Computation
– Pattern Recognition
– Systems Modelling
– Web Mining

Multi-Agent Systems: Models, Architectures and Applications
– Ontologies
– Computational Complexity
– Mobile Agents
– Negotiation Strategies
– Security, Privacy and Trust
– Agent Applications, Technologies and Trends
– Agent Models and Architectures
– Web Agents
– Protocols and Standards

Data Mining Topics and Applications
– Parallel and distributed data mining algorithms
– Data streams mining
– Graph mining
– Spatial data mining
– Text video, multimedia data mining
– Web mining
– Pre-processing techniques
– Visualization
– Security and information hiding in data mining
– Data Mining Applications

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