Hybrid Conferencee

International Conference on Data Analytics and Knowledge Discovery (ICDAKD - 26)

3rd - 4th November 2026 | Melbourne, Australia

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Melbourne. 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 Melbourne 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 Melbourne conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Melbourne, 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 Melbourne."
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 1
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Data Mining Techniques

This track focuses on the latest methodologies and algorithms in data mining that enhance the extraction of meaningful patterns from large datasets. Contributions that explore novel applications in social sciences and humanities are particularly encouraged.

Track 02

Machine Learning Applications in Social Sciences

This session will delve into the integration of machine learning techniques within social science research. Papers that demonstrate innovative uses of machine learning for data analysis and interpretation are welcome.

Track 03

Artificial Intelligence in Information Systems

This track examines the role of artificial intelligence in the development and optimization of information systems. Contributions that highlight AI-driven solutions for enhancing data management and retrieval in social contexts are sought.

Track 04

Predictive Analytics for Social Insights

This session aims to explore the use of predictive analytics in uncovering trends and insights within social phenomena. Researchers are invited to present studies that apply predictive models to real-world social issues.

Track 05

Data Visualization Techniques for Humanities Research

This track emphasizes the importance of data visualization in the humanities, showcasing techniques that effectively communicate complex data. Submissions that illustrate the impact of visualization on understanding cultural and social narratives are encouraged.

Track 06

Big Data Challenges in Social Science Research

This session addresses the challenges and opportunities presented by big data in the field of social sciences. Papers that discuss methodological innovations and ethical considerations are particularly welcome.

Track 07

Information Systems and User Experience

This track focuses on the intersection of information systems and user experience, exploring how design and usability impact data interaction. Contributions that analyze user behavior and system effectiveness are encouraged.

Track 08

Data Ethics in Social Research

This session will explore the ethical implications of data collection and analysis in social research. Papers that address privacy concerns, data governance, and responsible AI usage are particularly relevant.

Track 09

Interdisciplinary Approaches to Data Analytics

This track invites discussions on interdisciplinary methodologies that combine data analytics with social science theories. Researchers are encouraged to present collaborative works that bridge multiple fields.

Track 10

Real-Time Data Processing in Social Applications

This session examines the role of real-time data processing in enhancing social applications and services. Contributions that showcase innovative technologies and their societal impacts are welcome.

Track 11

The Future of Knowledge Discovery in Humanities

This track focuses on emerging trends and future directions in knowledge discovery within the humanities. Papers that propose new frameworks or technologies for enhancing knowledge extraction are encouraged.