Hybrid Conferencee

International Conference on Big Data Analytics and Statistical Modeling (ICBDASM - 26)

13th - 14th July 2026 | Boston, USA
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Boston. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Boston event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Boston conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Boston, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Boston."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDASM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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