Flex Conference (Physical / Digital)

International Conference on Big Data Analytics with Machine Learning (ICBDAML - 26)

17th - 18th August 2026, Malaga, Spain

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Call for Paper

The ICBDAML 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 Machine Learning encouraging participation from emerging researchers and fostering academic growth.

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

  • Big data analytics for business insights
  • Machine learning algorithms for data analysis
  • Data preprocessing techniques for analytics
  • Real-time big data processing solutions
  • Predictive analytics in various industries
  • Big data visualization techniques
  • Ethical implications of big data usage
  • Data mining techniques for insights
  • Machine learning in financial analytics
  • Big data challenges in healthcare
  • Scalable architectures for big data
  • Big data security and privacy concerns
  • Applications of big data in marketing
  • Natural language processing in big data
  • Big data in smart city initiatives
  • Social media analytics for trends
  • Big data and machine learning integration
  • Future of big data technologies
  • Collaborative big data projects
  • Impact of big data on decision making

Review & Publication

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.

 Ready to Participate?

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Important Dates

Early Bird Registration :18th July 2026

Paper Submission Deadline :23rd July 2026

Last Date of Registration : 2nd August 2026

Date of Conference : 17th - 18th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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