We aim to provide a leading opportunity to researchers, academicians, and professionals from different background areas to exchange the latest research ideas and research and development on data science, emerging technologies on machine learning and optimized techniques There are huge amounts of data generated, and it contains various types of data. This huge data has evolved as a most challenging field of study and research area. It has drawn much attention during the last few years and influences our modern society business, government, health-care and research in almost every discipline. Existing approaches to data analysis mainly rely on traditional data mining techniques in which machine learning is explicitly expressed. Machine learning and optimization techniques are delivering a promising solution to the industry for data analysis systems and to make innovation at a rapid pace.
This special session is integrating machine learning methods and advanced optimization Opportunities to bring efficient data analysis services. Further, machine learning approaches had addressed various challenges of data science such as anomaly detection, multivariate analysis,Streaming and visualization of data.
The main objective of this special session is to present the research from different areas of science and technology. This special session provides a platform for researchers and scientists across the world to exchange and share their experiences and research results about all aspects of electronics and information technology. This special session also provides an opportunity to interact and establish professional relations for future collaboration. The special session aims to promote innovations and work of researchers, engineers, students and scientists from across the world on Advancement in electronic and computer systems. The basic idea of the special session is what more can be done using the existing technology. In Today’s world electronic and computer systems plays an important role for future’s innovation.
Papers must be formatted using the SPRINGER Author’s Kit. Detailed instructions and templates are available here.
We welcome contributions from the following fields, but not limited to:
All registered papers included in ICCASA proceedings will be published by Springer and made available through SpringerLink Digital Library.
ICCASA proceedings are indexed in leading indexing services, including 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:
Submissions will be evaluated and selected based on their quality, originality, and significance to the areas of interest for Special Session. Submissions outside of the Special Session’s Scope should justify their relevance to the main area of interest.
Confidentiality of submissions is maintained during the review process, and papers will be selected through a single-blind review process and authors name and affiliation must be on the paper. All rejected submissions will be kept confidential in perpetuity. All submitted materials for accepted submissions will be kept confidential until the start of the conference. Submissions will be evaluated based on their originality, significance of the contribution to the field, technical correctness and presentation, as well as the potential to include participation by conference attendees. The submission should make explicit how the work offers unique and substantial contribution beyond what has already been published or submitted.
At least one author of an accepted paper must register and present the paper at the conference venue. Specific requirements will be arranged with presenters of accepted papers, however, presenters should be self-supporting as the organizers will only be able to provide space, electricity and an internet connection.
If you have questions about the Special Session, please contact the Special Session Chair: email@example.com and/or firstname.lastname@example.org