Data mining and knowledge discovery methods with case examples

Abstract

This chapter deals with the area of knowledge discovery and data mining that has emerged as an important research direction for extracting useful information from vast repositories of data of various types. The basic concepts, problems, and challenges are first briefly discussed. Some of the major data mining tasks like classification, clustering, and association rule mining are then described in some detail. This is followed by a description of some tools that are frequently used for data mining. Two case examples of supervised and unsupervised classification for satellite image analysis are presented. Finally, an extensive bibliography is provided.