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Introduction

Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2307)

Abstract

Association rule mining is an important topic in data mining. Our work in this book focuses on this topic. To briefly clarify the background of association rule mining in this chapter, we will concentrate on introducing data mining techniques.

In Section 1.1 we begin with explaining what data mining is. In Section 1.2 we argue as to why data mining is needed. In Section 1.3 we recall the process of knowledge discovery in databases (KDD). In Section 1.4 we demonstrate data mining tasks and faced data types. Section 1.5 introduces some basic data mining techniques. Section 1.6 presents data mining and marketing. In Section 1.7, we show some examples where data mining is applied to real-world problems. And, finally in Section 1.8 we discuss future work involving data mining.

Keywords

Data Mining Association Rule Data Mining Technique Data Mining Tool Data Mining Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

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