Data Mining: Concepts and Techniques, 3rd Edition

13.6 Summary

■ Mining complex data types poses challenging issues, for which there are many dedicated lines of research and development. This chapter presents a high-level overview of mining complex data types, which includes mining sequence data such as time series, symbolic sequences, and biological sequences; mining graphs and networks; and mining other kinds of data, including spatiotemporal and cyber-physical system data, multimedia, text and Web data, and data streams.

■ Several well-established statistical methods have been proposed for data analysis such as regression, generalized linear models, analysis of variance, mixed-effect models, factor analysis, discriminant analysis, survival analysis, and quality control. Full coverage of ...