Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning and Big Data Analytics (ICMLBDA - 27)
23rd - 24th June 2027 , Nara, Japan
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Call For Papers

The ICMLBDA provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Big Data, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning algorithms for big data
02
Deep learning applications in big data
03
Big data preprocessing techniques
04
Real-time machine learning for big data
05
Scalable machine learning frameworks
06
Big data analytics for predictive modeling
07
Data mining techniques in machine learning
08
Big data applications in natural language processing
09
Reinforcement learning with big data
10
Big data visualization for machine learning results
11
Ethics of machine learning in big data
12
Big data challenges in machine learning
13
Transfer learning in big data contexts
14
Big data and AI model interpretability
15
Big data applications in image recognition
16
Machine learning for big data security
17
Big data analytics for time series forecasting
18
Future directions in machine learning and big data
19
Big data in automated decision making
20
Collaborative filtering with big data

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.