BIGML

4th International conference on Big Data, Machine learning and Applications (BIGML 2023)

July 22 ~ 23, 2023, Toronto, Canada

Hybrid--Registered authors can present their work online or face to face New

SCOPE

4th International conference on Big Data, Machine learning and Applications (BIGML 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big data and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Program Schedule

Call for Participation

TOPICS OF INTEREST

Big Data

Big Data Techniques, models and algorithms
Big Data Infrastructure and platform
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Tools and systems
Big Data Mining
Big Data Management
Cloud and grid computing for Big Data
Machine Learning and AI for Big Data
Big Data Analytics and Social Media
5G and Networks for Big Data

Machine learning & Applications

Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Smart city
Fog Computing
Cloud Computing
IoT
Computer Vision
Bayesian Network
Data Mining

Paper Submission

Submission System

SAMPLE TEMPLATE

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Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms

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NLPCL 2023

CCSIT 2023

ITE 2023

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from BIGML 2023, after further revisions, will be published in the special issue of the following journals