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PAKDD 2024 : [Submission deadline extended]The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining

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Conference Series : Pacific-Asia Conference on Knowledge Discovery and Data Mining
 
Link: https://pakdd2024.org/
 
When May 7, 2024 - May 10, 2024
Where Taipei, Taiwan
Submission Deadline Nov 29, 2023
Notification Due Jan 10, 2024
Final Version Due Feb 5, 2024
 

Call For Papers

Extended Submission Deadline : November 29, 2023 (PST).

The 28th PAKDD will take place in Taipei,
Taiwan, on May 7-10, 2024. PAKDD 2024 will continue the success of the
previous PAKDD conferences and provide an international peer-reviewed
forum for researchers and industry practitioners who are addressing the
problems to share their new ideas, original research results, and
practical development experiences from all KDD-related areas. We invite
you to contribute to PAKDD 2024 and look forward to seeing you in
Taipei.
For up-to-date information on PAKDD 2024, please visit its homepage:
http://pakdd2024.org.

The Program Committee Chairs are soliciting contributed technical papers
for presentation at the Conference and publication in the Conference
Proceedings by Springer.

IMPORTANT DATES:
November 15, 2023 (PST): Paper Submission Deadline
January 10, 2024 (PST): Paper Acceptance Notification
February 5, 2024 (PST): Camera Ready Papers Due

TOPICS of interest include, but are not limited to:
Theoretical Foundations
Generative AI and quantum machine learning
LLM and vision-language pretraining
Pattern mining and association rules
Classification, clustering, and regression
Indexing, query analysis, and query processing
Extraction, integration, cleaning, and summarization
Information retrieval, NLP, and question answering
Anomaly and outlier detection
Recommendation systems
Asymptotic analysis and intelligence analysis
Online and streaming algorithms
Optimization methods
Kernel methods, matrices, and tensors
Probabilistic models and statistical inference
Deep and representation learning
Reinforcement learning
Relational and structured learning
Few-shot learning and transfer learning
Interpretability and explainability
Measurements, evolution, and models of graphs
Social network analysis and dynamics
Low-quality and offensive content detection
Semi-structured data and social media mining
Spatio-temporal and sequential data mining
User behavior analysis, exploitation, and modeling
Robustness and evaluations

Big Data Technologies
Learning-based data cleaning and preparation
Algorithmically efficient data transformation and integration
Novel algorithmic and statistical techniques for big data mining
Distributed data mining and searching on emerging architectures
Analysis, sampling, evaluation, and search in large-scale systems
Human computation and crowdsourcing of big data
User interfaces and visual analytics of big data analysis
Conversational search, zero-query, and implicit search

Security, Privacy, Ethics, and Social Issues
Modeling credibility, trustworthiness, and reliability
Privacy-preserving data mining and privacy models
Ethics of data mining, transparency, and algorithmic bias
AI vs human creativity and human-AI co-creativity
Sources and virality of misinformation
Monitoring and detection of misinformation
Social issues (e.g., early childhood development, poverty, etc.)
Climate, ecological, and environmental science
Resilience and sustainability

Interdisciplinary Research and Applications of Data Science
Symbiotic human-AI interaction and human-agent collaboration
IoT and network traffic and log analysis
Logistics management and supply chain management
Business and financial data and computational advertising
Intelligent assistants and AI-assisted programming
Medical and public health applications
Scientific data (e.g., astrophysics, genomics, robotics, etc.)


PAPER SUBMISSION
Please follow the guidelines given at the Website: http://pakdd2024.org.
Authors are instructed to follow the Springer LNCS/LNAI manuscript
submission guidelines for their submissions (max 12 single-spaced
pages). Submitted papers will undergo a double-blind peer review
process, coordinated by the Program Committee.


PAKDD 2024 Organizing Committee

Vincent S. Tseng (National Yang Ming Chiao Tung University)
Jian Pei (Duke University)
General Chairs

De-Nian Yang (Academia Sinica)
Xing Xie (Microsoft Research Asia)
Program Committee Chairs

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