3rd International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2023
29-30 May 2023
National Institute of Technology, Arunachal Pradesh, India
In Collaboration with

Conference Proceedings
ALL ACCEPTED & PRESENTED papers will be published in SCOPUS indexed SPRINGER PROMS.
Springer PROMS
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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.

About Conference

The proposed Conference on Machine Learning and Big Data Analytics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. ICMLBDA 2023, organized by National Institute of Technology, Arunachal Pradesh India in collaboration with NERIST aims at collecting scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern Machine Learning and Big Data, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Through sharing and networking, ICMLBDA 2023 will provide an opportunity for researchers, practitioners and educators to exchange research evidence, practical experiences and innovative ideas on issues related to the Conference theme.

Please consider submitting 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.

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Important Dates

Call For Papers

January 15, 2023

Submission of Papers 

March 31, 2023

Acceptance Notification

April 25, 2023

Early Bird Registration

April 30, 2023

Oral Presentation of selected works (Conference)

May 29-30, 2023

Submission of Revised papers

June 30, 2023

Indexing

Post conference, proceedings will be made available to the following indexing services for possible inclusion:

Scopus
dblp - computer science bibliography
Clarivate Analytics
google scholar

Conference Tracks
Machine Learning
  • Foundations
  • Applications of deep learning in various engineering streams
  • Neural information processing systems and architectures
  • Training schemes, GPU computation and paradigms
  • Reinforcement Learning
  • Natural Language Processing
  • GANs and other neural generative methods
  • Representation embedding spaces
  • Deep Belief Networks and Statistical Learning
  • Advance Optimization techniques
  • Autonomous Computing
  • Extreme Learning Machines
  • Hybrid Intelligent Systems
Big Data Analytics
  • Big Data Analytics Adoption
  • Benefits of Big Data Analytics
  • Volume Growth of Analytic Big Data
  • Managing Analytic Big Data
  • Big data storage architecture
  • GEOSS clearing house
  • Data Science Models and Approaches
  • Big Data Acquisition, Integration, Cleaning, and Best Practices
  • Big Data and High Performance Computing
  • Scalable Computing Models, Theories, and Algorithms
  • Performance Evaluation Reports for Big Data Systems
  • Many-Core Computing and Accelerators
  • Analytics Reasoning and Sense-making on Big Data
Conference is also organizing various special sessions/workshops. For details Click here

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