Hybrid Conferencee

International Conference on Machine Learning Applications in Big Data Analytics (ICMLABDA - 26)

18th - 19th September 2026 | Sydney, Australia

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Sydney conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sydney, 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 Sydney."
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

Innovative Machine Learning Algorithms for Big Data

This track focuses on the development and application of novel machine learning algorithms tailored for big data environments. Researchers are invited to present their findings on algorithmic advancements that enhance data processing and predictive accuracy.

Track 02

Scalable Analytics in Cloud-Based Systems

This session explores the challenges and solutions related to scalable analytics within cloud computing frameworks. Contributions should address performance optimization, resource management, and the integration of big data tools in cloud environments.

Track 03

Data Mining Techniques for Intelligent Systems

This track highlights cutting-edge data mining techniques that empower intelligent systems to derive actionable insights from large datasets. Submissions should emphasize innovative methodologies and their practical applications in various domains.

Track 04

Predictive Modeling in Big Data Analytics

This session is dedicated to the exploration of predictive modeling techniques that leverage big data for enhanced decision-making. Papers should discuss the effectiveness of these models in real-world scenarios and their implications for various industries.

Track 05

IT Infrastructure for Big Data Processing

This track examines the critical role of IT infrastructure in supporting big data processing and analytics. Contributions should focus on architectural designs, system integration, and the impact of infrastructure on data-driven initiatives.

Track 06

Data Visualization Techniques in Analytics Platforms

This session emphasizes the importance of data visualization in interpreting complex datasets within analytics platforms. Researchers are encouraged to present innovative visualization methods that enhance user understanding and engagement.

Track 07

AI Integration in Big Data Solutions

This track investigates the integration of artificial intelligence technologies into big data solutions. Papers should explore the synergies between AI and big data, highlighting case studies and practical implementations.

Track 08

Automation in Data-Driven Decision-Making

This session focuses on the role of automation in facilitating data-driven decision-making processes. Contributions should showcase automated systems that enhance efficiency and accuracy in business and operational contexts.

Track 09

Advanced Computing Techniques for Big Data Analytics

This track explores advanced computing techniques that enhance the capabilities of big data analytics. Submissions should address high-performance computing, parallel processing, and innovative computational models.

Track 10

Emerging Trends in Big Data Tools and Technologies

This session highlights emerging trends in tools and technologies that support big data analytics. Researchers are invited to discuss new developments, frameworks, and tools that are shaping the future of big data.

Track 11

IT Solutions for Enhanced Data Processing

This track focuses on innovative IT solutions that improve data processing capabilities in big data environments. Contributions should detail practical implementations and the impact of these solutions on organizational performance.