Hybrid Conferencee

International Conference on Big Data Analytics and Machine Learning Frameworks (ICBDAMLF - 27)

17th - 18th June 2027 | Christchurch, New Zealand
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

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

Call for Paper

The ICBDAMLF 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 Big Data, Machine Learning, Information Technology, 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 frameworks comparison
02
Machine learning model development frameworks
03
Real-time analytics frameworks for big data
04
Big data visualization frameworks and tools
05
Machine learning for data analysis
06
Big data applications in analytics frameworks
07
Frameworks for scalable machine learning
08
Big data architecture for analytics solutions
09
Machine learning for data-driven insights
10
Big data analytics in cloud environments
11
Frameworks for big data processing
12
Machine learning for data integration
13
Big data governance frameworks
14
Frameworks for predictive analytics
15
Machine learning for data mining
16
Big data in business intelligence frameworks
17
Frameworks for data quality management
18
Machine learning for real-time analytics
19
Big data analytics for operational efficiency
20
Future trends in analytics frameworks