International Conference on

Big Data Analytics with Machine Learning (ICBDAML-26)

23rd – 24th Oct 2026 | Nanjing, China | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data Analytics with Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Big data analytics for business insights
02
Machine learning algorithms for data analysis
03
Data preprocessing techniques for analytics
04
Real-time big data processing solutions
05
Predictive analytics in various industries
06
Big data visualization techniques
07
Ethical implications of big data usage
08
Data mining techniques for insights
09
Machine learning in financial analytics
10
Big data challenges in healthcare
11
Scalable architectures for big data
12
Big data security and privacy concerns
13
Applications of big data in marketing
14
Natural language processing in big data
15
Big data in smart city initiatives
16
Social media analytics for trends
17
Big data and machine learning integration
18
Future of big data technologies
19
Collaborative big data projects
20
Impact of big data on decision making
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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