Call for Papers – Main Track
PAKDD 2025 will be held exclusively in person. All accepted presentations must be delivered on-site.
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.
Important Dates
- Paper Submission Deadline:
November 30, 2024December 14, 2024 - Paper Acceptance Notification: February 8, 2025
- Camera Ready Papers Due: March 1, 2025
*All deadlines are 23:59 Pacific Standard Time (PST)
Conference Topics
Topics of relevance for the conference include, but are not limited to, the following:
- 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
- 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
- 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
- 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
- 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
Submission Details
https://pakdd2025.org/authors-kit
If you have any questions, please feel free to contact us at pakdd2025.pc@gmail.com.
PAKDD Program Committee Chairs
- Xintao Wu (University of Arkansas, USA)
- Myra Spiliopoulou (Otto von Guericke University Magdeburg, Germany)
- Can Wang (Griffith University, Australia)