Call for Papers

We invite submissions for our upcoming Special Track on Data Intelligence & Knowledge Mining at The 20th International Conference Advanced Data Mining and Applications 2024 (ADMA 2024). ADMA is in the list of CCF (China Computer Federation) recommended Conferences (C series, Databases/Data Mining).

Background

In the rapidly evolving digital age, the field of Data Intelligence and Knowledge Mining has emerged as a crucial area of research and application. It encompasses the processes and techniques aimed at extracting valuable insights and knowledge from vast and complex datasets. This field plays a crucial role in various aspects of our modern society, including but not limited to the following:

• Data Analysis and Insights: Helping organizations make informed decisions by uncovering patterns, trends, and correlations within data.
• Knowledge Discovery: Extracting hidden knowledge and relationships to gain a deeper understanding of various phenomena.
• Business Intelligence: Enabling businesses to optimize processes, identify opportunities, and stay competitive in the market.
• Research and Development: Facilitating advancements in various fields by analyzing large amounts of data.

The key techniques and methods used in this field include:

• Advanced data mining algorithms to identify patterns and patterns within large datasets.
• Machine learning and deep learning approaches for predictive analytics and model building.
• Knowledge graphs and semantic reasoning for representing and manipulating knowledge.
• Big data analytics and visualization tools for efficient data processing and interpretation.

The applications of Data Intelligence and Knowledge Mining are diverse, ranging from:

• Education for personalized learning, curriculum design and assessment, and teacher-AI collaboration.
• Finance for fraud detection, risk assessment, and market analysis.
• Marketing for customer segmentation, targeted advertising, and consumer behavior analysis.

As the volume and complexity of data continue to grow, the importance of this field will only increase. It offers exciting opportunities for researchers and practitioners to drive innovation and make a significant impact in multiple domains.

Scope

This special track aims to bring together researchers, practitioners, and experts to explore the latest advancements, challenges, and opportunities in this domain by promoting cutting-edge research and innovation in Data Intelligence and Knowledge Mining, facilitating knowledge sharing and cross-disciplinary collaborations, discussing real-world applications and case studies, and identifying emerging trends and future directions. We welcome contributions from a wide range of topics, including but not limited to:

• Advanced data mining techniques and algorithms.
• Knowledge discovery and representation.
• Big data analytics and visualization.
• Machine learning and deep learning in knowledge mining.
• Context-aware data intelligence.
• Knowledge graph and semantic reasoning.
• Data-driven decision making and prediction.
• Privacy and security in data intelligence.
• Applications of data intelligence in various domains (e.g., education, finance, marketing).

Formatting Guidelines

We welcome English-language papers containing original and unpublished contributions to the fields of data mining and related areas. Manuscripts should adhere to the LNAI (Lecture Notes in Artificial Intelligence) format. For the template and detailed instructions on LNCS style, please refer to Springer's Author Instructions. Papers should adhere to the main conference guidelines, ensuring they do not exceed 15 pages in LNAI format. Submissions undergo a double-blind review process for ADMA2024. This means:

• Author identities and affiliations remain undisclosed to reviewers throughout the review process.
• Authors must prepare and submit blinded manuscripts that conceal author and affiliation information. Specific guidelines are outlined below.
• Both authors and reviewers are expected to make sincere efforts to prevent accidental de-blinding of any submission.
• All submitted papers must adhere to the following rules. Non-compliance may result in automatic rejection.

Submission Guidelines

Authors are invited to submit original research papers, case studies, and technical reports aligned with the theme of Data Intelligence and Knowledge Mining. Submissions should adhere to the conference's formatting guidelines and be submitted through the CMT online submission system. All submissions will undergo a rigorous peer-review process to ensure quality and relevance. When submitting your manuscript, please choose the "Special Session Track" option and select the area of "Special Session: Data Intelligence & Knowledge Mining."

Important Dates

• Paper Submission Deadline: 20th July, 2024 (AoE)
• Notification of Acceptance: 3rd September, 2024 (AoE)
• Camera-Ready Paper Due: 15th September, 2024 (AoE)
• Conference Dates: 3rd~5th December, 2024 (AEST)

Track Chairs

• Yuncheng Jiang, South China Normal University, China
• Gang Li, Deakin University, Australia

Program Committee

• Weiru Liu, University of Bristol, United Kingdom
• Laura E. Barnes, University of Virginia, United States
• Aladdin Ayesh, University of Aberdeen, United Kingdom
• Mengchi Liu, Carleton University, Canada
• Tianwei Zhang, Nanyang Technological University, Singapore
• Xiaowei Jia, University of Pittsburgh, United States
• Chen Li, Nagoya University, Japan
• Zhiwen Yu, South China University of Technology, China