Hybrid Conferencee

International Conference on Big Data Analytics and Data Mining (ICBDADM - 26)

15th - 16th June 2026 | Salvador, Brazil
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 Salvador. 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 Salvador 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 Salvador conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Salvador, 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 Salvador."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDADM 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 Computer Science Engineering, 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 for business intelligence
02
Data mining techniques and methodologies
03
Machine learning for predictive analytics
04
Data visualization best practices
05
Challenges in big data management
06
Real-time data processing solutions
07
Data governance and compliance issues
08
Cloud computing for big data analytics
09
Case studies on big data applications
10
Data integration techniques for analytics
11
Ethics in data mining practices
12
Impact of AI on big data analytics
13
Scalable architectures for big data
14
Data quality assessment methods
15
Big data analytics in healthcare
16
Social media data mining techniques
17
Future trends in big data technologies
18
Data-driven decision making in organizations
19
Big data tools and platforms comparison
20
Collaborative big data projects