Categories |
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BIG DATA
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COMPUTING
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MACHINE LEARNING
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DEEP LEARNING
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About |
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
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Call for Papers |
ScopeBig data paradigm is an interdisciplinary field bringing together computer science, mathematics, statistics and information theory to analyze data for interpretation and prediction. Big data research is characterized by voluminous and incremental datasets and complex data methods. The machine learning methods used in algorithm development are iterative and parallel. These methods can be scaled to handle big data using distributed and parallel computing technologies. Recent technological advances allow for high throughput profiling of data analytics systems in a cost-efficient manner. The low cost of data generation is leading us to the big data era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. Integration of big data from multiple sources has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big data using novel computational approaches, machine and deep learning methods and web-based server tools. BDCC 2020 addresses the issues and challenges posed by several big data problems and give an overview of the state of the art and the future research opportunities. BDCC 2020 is open to submit high quality research contributions from wide range of professions including scholars, researchers, academicians and Industry people. Original research papers and state of the art reviews will be accepted. TopicsThe works that will be presented at conference will focus on the following topics:
PublicationAll registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL). Authors of selected papers will be invited to submit an extended version to: All accepted authors are eligible to submit an extended version in a fast track of:
Additional publication opportunities:
Community ReviewCommunity Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process. Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here. Learn more about the Community Review process Paper submissionPapers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section). Regular Papers: 10 – 20 Important datesFull Paper Submission deadline: 10 July 2020 |
Summary |
EAI BDCC 2020 : 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing will take place in Coimbatore, India. It’s a 2 days event starting on Dec 18, 2020 (Friday) and will be winded up on Dec 19, 2020 (Saturday). EAI BDCC 2020 falls under the following areas: BIG DATA, COMPUTING, MACHINE LEARNING, DEEP LEARNING, etc. Submissions for this Conference can be made by Jul 10, 2020. Authors can expect the result of submission by Aug 14, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Sep 18, 2020 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the EAI BDCC 2020
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Credits and Sources |
[1] EAI BDCC 2020 : 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing |