Hybrid Conferencee

International Conference on Advances in Big Data Analytics (ICABDA - 26)

29th - 30th September 2026 | Adelaide, Australia

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Adelaide. 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 Adelaide 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 Adelaide conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Adelaide, 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 Adelaide."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Innovations in Predictive Analytics

This track focuses on the latest advancements in predictive analytics methodologies and their applications across various industries. Researchers are invited to present novel approaches that enhance the accuracy and efficiency of predictive models.

Track 02

Machine Learning Techniques for Big Data

This session will explore cutting-edge machine learning algorithms tailored for big data environments. Contributions that demonstrate the scalability and effectiveness of these techniques in real-world scenarios are highly encouraged.

Track 03

Data Visualization Strategies

This track aims to discuss innovative data visualization techniques that facilitate better understanding and interpretation of complex datasets. Papers that showcase the integration of visualization tools with big data analytics are particularly welcome.

Track 04

Cloud Computing for Big Data Solutions

This session will investigate the role of cloud computing in enhancing big data analytics capabilities. Researchers are invited to present findings on cloud-based architectures and their impact on data processing and storage.

Track 05

Data Integration and Management

This track addresses the challenges and solutions related to data integration from heterogeneous sources in big data environments. Contributions that propose novel frameworks for effective data management are encouraged.

Track 06

AI-Driven Analytics in Engineering

This session will highlight the application of artificial intelligence in engineering contexts through advanced analytics. Papers that demonstrate AI's role in optimizing engineering processes and decision-making are sought.

Track 07

Scalable Computing for Big Data Analytics

This track focuses on the development of scalable computing architectures that support large-scale data analytics. Contributions that explore performance optimization and resource management in big data applications are welcome.

Track 08

Data Mining Techniques and Applications

This session will delve into innovative data mining techniques that extract valuable insights from large datasets. Researchers are invited to share applications of these techniques across various sectors.

Track 09

Optimization Strategies in Big Data Systems

This track will explore optimization strategies that enhance the performance of big data systems. Contributions that address algorithmic improvements and system-level optimizations are encouraged.

Track 10

Intelligent Systems and Data-Driven Solutions

This session will focus on the development of intelligent systems that leverage big data for enhanced decision-making. Papers that illustrate the integration of data-driven solutions in engineering practices are particularly welcome.

Track 11

Advanced Analytics for Engineering Innovations

This track aims to showcase advanced analytics techniques that drive innovation in engineering fields. Researchers are invited to present case studies and theoretical contributions that highlight the transformative potential of big data analytics.