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The topics of relevance for the conference papers include but not limited to the following:

Agent-based data mining

Anomaly detection

Association analysis

Bioinformatics

Classification

Cyber-security analysis

Data pre-processing

Eco-informatics

Feature extraction and selection

Fraud and risk analysis

Human, domain, organizational and social factors in data mining

Integration of data warehousing

Interactive and online mining

Marketing

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 multimedia 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

OLAP and data mining

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

Security and intrusion detection

Statistical methods for data mining

Theoretic foundations

Ubiquitous knowledge discovery

Visual data mining


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