ABSTRACT
Essentially, the task of knowledge discovery can be classified into data preparation [1], data mining and knowledge presentation. Data mining is the core step where the algorithms for extracting the useful and interesting patterns are applied. In this sense, data preparation and knowledge
1 INTRODUCTION
Knowledge discovery and data mining has recently emerged as an important research direction for extracting useful information from vast repositories of data of various types [1]. This chapter discusses some of the basic concepts and issues involved in this process with special emphasis on different data mining tasks. The major challenges in data mining are mentioned. Finally, the recent trends in data mining are described and an extensive bibliography is provided.
