Hybrid Conference (In Person / Virtual)

International Conference on Big Data Analytics and Statistical Modeling (ICBDASM - 27)
13th - 14th February 2027 , Macau, China
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Call For Papers

The ICBDASM 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 Statistics, encouraging participation from emerging researchers and fostering academic growth.

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

01
Big data analytics techniques and tools
02
Statistical modeling for large datasets
03
Data mining and statistical methods
04
Machine learning applications in big data
05
Statistical challenges in big data
06
Predictive analytics in business intelligence
07
Big data visualization techniques
08
Statistical methods for real-time data
09
Applications of big data in healthcare
10
Big data ethics and privacy concerns
11
Statistical modeling in social media analysis
12
Big data applications in finance
13
Data quality and statistical reliability
14
Statistical methods for streaming data
15
Big data and machine learning integration
16
Statistical analysis of network data
17
Big data applications in environmental science
18
Statistical techniques for unstructured data
19
Big data in education and research
20
Future trends in big data analytics

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.