Call for Paper

• Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, pattern discovery, and association
• analysis)
• Models and algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
• Developing a unifying theory of data mining
• Mining sequences and sequential data
• Mining spatial and temporal datasets
• Mining textual and unstructured datasets
• Distributed data mining
• High performance implementations of data mining algorithms
• Privacy- and anonymity-preserving data analysis