Related work and concepts

Abstract

This chapter presents the main background knowledge relevant to the book. Sections 2.1 and 2.2 describe the areas of processing complex data and knowledge discovery in traditional databases. The task of clustering complex data is discussed in Sect. 2.3, while the task of labeling such kind of data is described in Sect. 2.4. Section 2.5 introduces the MapReduce framework, a promising tool for large scale data analysis, which has been proven to offer one valuable support to the execution of data mining algorithms in a parallel processing environment. Section 2.6 concludes the chapter.