PAKDD 2025 : 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining

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. In particular, 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, 2024
Paper Acceptance Notification January 25, 2025
Camera Ready Papers Due February 15, 2025

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, optimization methods
Model explainability, 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 GraphNNs

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

Submission Details
https://pakdd2025.org/authors-kit

If you have any questions, please feel free to contact us at [email protected]