Call For Paper
Multidisciplinary Studies
- 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