Abstract :
The following topics are dealt with: data mining and machine learning algorithms; mining semi-structured data, temporal, spatial, multimedia data; data stream mining; pattern recognition and trend analysis; collaborative filtering/personalization; complexity, efficiency, and scalability issues; data pre-processing/reduction, feature selection/transformation; large-scale data mining statistics and probability; soft computing and uncertainty management; high performance and parallel/distributed data mining; quality assessment and interestingness metrics; security, privacy and social impact of data mining and data mining applications.
Keywords :
data mining; collaborative filtering; collaborative personalization; data mining application; data mining privacy; data mining security; data mining social impact; data preprocessing; data reduction; data stream mining; distributed data mining; feature selection; feature transformation; high performance data mining; interestingness metrics; large-scale data mining probability; large-scale data mining statistics; machine learning; multimedia data mining; parallel data mining; pattern recognition; quality assessment; semistructured data mining; soft computing; spatial data mining; temporal data mining; trend analysis; uncertainty management;
