Conference Information
PAKDD 2025: Pacific-Asia Conference on Knowledge Discovery and Data Mining
https://pakdd2025.org/Submission Date: |
2024-11-30 |
Notification Date: |
2025-01-25 |
Conference Date: |
2025-06-10 |
Location: |
Sydney, Australia |
Years: |
29 |
CCF: c CORE: a Viewed: 142330 Tracked: 313 Attend: 78
Call For Papers
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) will take place in Sydney, Australia, on June 10-13, 2025. PAKDD 2025 is soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by Springer. We solicit novel, high-quality, and original research papers that provide innovative insights into all facets of knowledge discovery and data science, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity. We also encourage visionary papers on emerging topics and application-based papers offering innovative technical advancements to interdisciplinary research and applications of data science. Conference Topics Topics of relevance for the conference include, but are not limited to, the following: Theoretical Foundations Generative AI, quantum ML, neuro-symbolic methods and reasoning, causal reasoning, non-IID learning, OOD generalization, representation learning, mathematical and statistical foundations, information theoretic approaches, optimization method Theoretical foundations for fairness, safety, model explainability, and XAI Learning Methods and Algorithms Clustering, classification, pattern mining and association rules discovery Supervised learning, semi-supervised learning, few-shot and zero-shot learning, active learning Reinforcement learning and bandits Transfer learning, federated learning Anomaly detection, outlier detection Learning in recommendation engines Learning in streams and in time series Learning on structured data, images, texts and multi-modal data Online learning, model adaption Graph mining and Graph NNs Data Processing for Learning Dimensionality reduction, feature extraction, subspace construction Data cleaning and preparation, data integration and summarization Learning in real-time Big data technologies Information retrieval Data/entity/event/relationship extraction User interfaces and visual analytics Security, Privacy, Ethics, Information Integrity and Social Issues Modeling credibility, trustworthiness, and reliability Privacy-preserving data mining and privacy models Model transparency, interpretability, and fairness Misinformation detection, monitoring, and prevention Social issues, such as health inequities, social development, and poverty Interdisciplinary Research on Data Science Applications Social network/media analysis and dynamics, reputation, influence, trust, opinion mining, sentiment analysis, link prediction, and community detection Symbiotic human-AI interaction, human-agent collaboration, and socially interactive robots Internet of Things, logistics management, network traffic and log analysis, and supply chain management Business and financial data, computational advertising, customer relationship management, intrusion and fraud detection, and intelligent assistants Medical and public health applications, drug discovery, healthcare management, and epidemic monitoring and prevention Methods for detecting and combating spamming, trolling, aggression, toxic online behaviors, bullying, hate speech, and low-quality and offensive content Climate, ecological, and environmental science, and resilience and sustainability Astronomy and astrophysics, genomics and bioinformatics, high energy physics, robotics, AI-assisted programming, and scientific data
Last updated by Dou Sun in 2024-10-01
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Full Name | Impact Factor | Publisher |
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International Journal of Grid Computing & Applications | AIRCC | |
Cryptography and Communications | 1.200 | Springer |
International Journal of Distributed and Parallel Systems | AIRCC | |
Materials Science and Engineering: R: Reports | 31.60 | Elsevier |
ACM Transactions on Mathematical Software | 2.700 | ACM |
ISPRS Journal of Photogrammetry and Remote Sensing | 10.60 | Elsevier |
ACM Transactions on Modeling and Performance Evaluation of Computing Systems | 0.700 | ACM |
Statistical Analysis and Data Mining | John Wiley & Sons, Ltd | |
Numerical Heat Transfer, Part B: Fundamentals | 1.700 | Taylor & Francis |
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