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The topics of relevance for the conference papers include but not limited to the following:
Theory of Data Mining | Application of Data Mining |
Data processing | Eco-informatics |
Image data mining | Anomaly detection |
Agent-based data mining | Bioinformatics |
Human, domain, organizational and social factors in data mining | Cyber-security analysis |
Scalable data preprocessing | Feature extraction and selection |
Parallel and distributed data mining algorithms | Fraud and risk analysis |
Methodologies on large-scale data mining | Environmental data |
High performance data mining algorithms | Natural Language and Images |
Novel models and algorithms | Competitive analysis of mining algorithms |
OLAP and data mining | Data mining systems in finance and e-commerce |
Opinion mining and sentiment analysis | Text data mining |
Parallel, distributed, and cloud-based high performance data mining | Web mining |
Post-processing including quality assessment and validation | Video data mining |
Privacy preserving data mining | Multimedia data mining |
Security and intrusion detection | |
Statistical methods for data mining | |
Theoretic foundations | |
Ubiquitous knowledge discovery | |
Visual data mining |