Dr. Amit Gupta, Graphic Era Hill University, Dehradun, Uttarakhand, India
The goal is to bring together the recent advances in communication intelligence, data computing models, algorithms and simulations to analyse and optimize various complex problems. This conference aims to create a new discipline in communicational intelligence and data computing by combining contemporary computational methods, data communication, software engineering, machine learning, communicational intelligence, simulations and ancillary technologies to address complexities in advanced computing applications in a smart way which is far beyond the scope of traditional data computing methods and technologies. The International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2023), is an international forum on the theory, design, analysis, implementation and application of distributed systems and networks. We solicit papers in all areas of distributed computing. Papers from all viewpoints, including theory, practice, and experimentation, are welcome. The common goal of the conference is to improve understanding of the principles underlying distributed computing.
Tel.: ; Email: firstname.lastname@example.org
Track - 1 DATA COMMUNICATION TECHNOLOGIES Big Data collection in Communication Networks Big Data for Network Service Intelligence Adaptive Techniques for Increased Network Performance Big Data and Network Security Distributed Data Analytics Big Data Search Architectures, Scalability and Efficiency Mobile and Data Communication Systems Visualization Analytics for Big Data Mobility and Big Data Multimedia and Multi-structured Data Data Mining and Data Pre-processing Optimization and Big Data Mobile and Data Communication Systems Stream data mining Data Analysis and Decision Making Real-world and large-scale practices of big data Track - 2 DATA COMPUTING Computational Models for Big Data Advanced Big Data Learning and Predictive Analytics Knowledge Extraction, Discovery, and Analysis Big Data as a Service and Application Big Data and Machine Learning Applications Large-Scale Recommendation Systems Security and Privacy Preserving Big Data Analytics Social Data Mining and Analytics Cloud/Grid/Stream Data Mining Blockchain data management Sustainable big data computing platforms Computation in memory/storage/network High Performance/Parallel Computing for Big Data Multi-level Data Processing Intelligent Data Management
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