Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be reviewed for possible publication in SPRINGER AISC.
The proposed International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021 provides a platform for researchers and professionals to share their research and reports of new technologies and applications in ML and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence.
The ICMLBDA 2021 aims to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next generation computational models for machine intelligence.
Please consider submitting your works to this conference. We are interested in the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.
ICMLBDA 2021 aims to provide a forum for researchers from both academia and industry to share their latest research contributions, future vision in the field and potential impact across industries of ML and Big Data Analytics.
Join us, 29-30 March 2021, to explore discovery, progress, and achievements related to various Machine Learning Techniques and Big Data Analytics
This conference is basically focused on advanced automation, computational optimization of Machine Learning in all engineering based applications as well as include specific plenary sessions, invited talks and paper presentations focusing on the applications of ML and BDA in the fields of computer/ electronics/ electrical/ mechanical/chemical/Textile engineering, Healthcare and Agriculture, Business and Social Media and other relevant domains.
The ICMLBDA 2021 will provide its attendees an uncommon opportunity to expand their network beyond their immediate professional environment. It is a unique chance to work with other accomplished individuals from diverse areas towards the common goal of shaping the future of the communication, computing and society.
Papers reporting original* and unpublished research results pertaining to the related topics are solicited. *(papers with plagiarism more than 30% will be outrightly rejected)
For authors convenience, Springer has summarized in the Author Guidelines document how a proceedings paper should be structured, how elements (headings, figures, references) should be formatted using our predefined styles, etc. The PDF of the Authors Guidelines can be downloaded from the given link or as part of the zip files containing the complete sets of instructions and templates for the different text preparation systems.
Springer has developed LaTeX style files and Word templates to help prepare paper. LaTeX is the preferred format for texts containing several formulae, but Word templates are also available on the following link:
https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines
Submissions should NOT include the author(s), affiliation(s), e-mail address(es), and postal address(es) in the manuscripts. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.
The ONLINE submission site is
Click here, to submit.
Amid prevailing conditions due to COVID19, a virtual meeting platform may be made available for all registered authors who intend to submit their work but are unable to attend the conference. Authors may register and present their paper through the virtual platform.
Authors shall be sent a Certificate of Participation, Conference Proceedings link and relevant literature by mail.
After a double-blind peer review, qualifying Regular Papers may be accepted as either Full Papers or Short Papers.
Post-conference, proceedings will be made available to the following indexing services for possible inclusion:
Depending on the focus of the particular indexing services, they may decide to include or not. If included one can expect it in 15-18 months. DBLP and Google Scholar are fast.