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|Title=24th Pacific-Asia Conference on Knowledge Discovery and Data Mining | |Title=24th Pacific-Asia Conference on Knowledge Discovery and Data Mining | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=https://pakdd2020.org/ |
|City=Singapore | |City=Singapore | ||
|Country=Country:SG | |Country=Country:SG |
Latest revision as of 14:18, 19 October 2022
Deadlines
Metrics
Submitted Papers
628
Accepted Papers
135
Venue
Singapore
Warning: Venue is missing. The map might not show the exact location.
Due to the unexpected COVID-19 epidemic, we made all the conference sessions accessible online to participants around the world.
Topics
- Anomaly detection and analytics
- Association analysis
- Classification
- Clustering
- Data pre-processing
- Deep learning theory and applications in KDD
- Explainable machine learning
- Factor and tensor analysis
- Feature extraction and selection
- Fraud and risk analysis
- Human, domain, organizational, and social factors in data mining
- Integration of data warehousing, OLAP, and data mining
- Interactive and online mining
- Mining behavioral data
- Mining dynamic/streaming data
- Mining graph and network data
- Mining heterogeneous/multi-source data
- Mining high dimensional data
- Mining imbalanced data
- Mining multi-media data
- Mining scientific data
- Mining sequential data
- Mining social networks
- Mining spatial and temporal data
- Mining uncertain data
- Mining unstructured and semi-structured data
- Novel models and algorithms
- Opinion mining and sentiment analysis
- Parallel, distributed, and cloud-based high-performance data mining
- Post-processing including quality assessment and validation
- Privacy preserving data mining
- Recommender systems
- Representation learning and embedding
- Security and intrusion detection
- Statistical methods and graphical models for data mining
- Supervised learning
- Theoretic foundations of KDD
- Ubiquitous knowledge discovery and agent-based data mining
- Unsupervised learning
- Visual data mining
- Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems