Title of special session
Innovations and Applications in Data Mining: From Theory to Practice

Acronym
IADM 2024

Organizers
Name: Sathishkumar V E
Affiliation: Sunway University, Malaysia
Email: sathishv@sunway.edu.my

Description
The special section "Innovations and Applications in Data Mining: From Theory to Practice" (IADM 2024) aims to present cutting-edge research and developments across a wide array of topics within the field of data mining. As data continues to grow exponentially, advanced data mining techniques have become critical for extracting meaningful insights from large and complex datasets. This section will delve into novel algorithms, methodologies, and frameworks that push the boundaries of what is currently possible in data mining. It will also explore the integration of machine learning approaches, enhancing the efficiency and accuracy of data mining processes, and tackling the unique challenges posed by real-time and streaming data analysis.
Moreover, the special section will highlight practical applications of data mining in various domains. For instance, it will cover predictive modeling techniques crucial for constructing and validating models that can foresee future trends and behaviors in different industries. The section will also emphasize the importance of text and web mining for extracting valuable information from unstructured data sources, as well as visual data mining techniques that improve data comprehension and interpretation.
Lastly, the special section will address the critical issues of privacy and security in data mining, ensuring that the processes comply with data protection standards. It will also include discussions on evaluation and benchmarking, providing standards and metrics for assessing the performance and effectiveness of data mining algorithms and systems. By bringing together these diverse yet interconnected topics, the special section aims to provide a comprehensive overview of the current state and future directions of data mining, serving as a valuable resource for researchers, practitioners, and policymakers alike.

Scopes
This special section will cover a broad range of topics related to Data Mining, including but not limited to:

• Advanced Data Mining Techniques: Novel algorithms, methodologies, and frameworks for data mining.
• Big Data Analytics: Techniques for handling and extracting knowledge from large-scale data.
• Machine Learning in Data Mining: Integration of machine learning approaches in data mining processes.
• Real-time Data Mining: Techniques and applications for real-time and streaming data analysis.
• Predictive Modeling: Approaches for constructing and validating predictive models in various domains.
• Text and Web Mining: Techniques for extracting useful information from unstructured data sources like text and web content.
• Visual Data Mining: Visualization techniques to aid in the understanding and interpretation of data mining results.
• Data Mining in Healthcare: Applications of data mining for enhancing patient diagnostics, treatment planning, and healthcare management.
• Data Mining in Smart Systems: Applications in Intelligent Transportation Systems, Smart Grids, Smart Farming, etc.
• Privacy and Security in Data Mining: Ensuring data privacy and security while performing data mining tasks.
• Evaluation and Benchmarking: Standards and benchmarks for evaluating the performance of data mining algorithms and systems.

Important dates

Paper submission: September 15, 2024
Notification of acceptance: October 30, 2024
Camera-ready papers: November 20, 2024
Registration & payment: November 20, 2024
Conference date: December 12, 2024

Program Committee
Jaehyuk Cho, Jeonbuk National University, South Korea
Yongyun Cho, Sunchon National University, South Korea
Malliga Subramanian, Kongu Engineering College, India
Gunasekaran Raja, Anna University, India
Nallappan Gunasekaran, Beibu Gulf University, China
Ling Mee Hong, Sunway University, Malaysia
Venkatachalam Kandasamy, University of Hradec Králové, Czech Republic
Kottilingam Kottursamy, Anna University, India
Ramu A G, Hongik University, South Korea

Submission
To submit your manuscript, please submit directly to the Special Session Chair at sathishv@sunway.edu.my