Advanced Data Mining Techniques

Advanced Data Mining Techniques

------------------------------------------->>>>>>>By David L.Olson , Dursun Delen

Ebook Summary:-

• Chapter 1 gives an overview of data mining, and provides a description of
  the data mining process. An overview of useful business applications is

  provided.

• Chapter 2 presents the data mining process in more detail. It demonstrates
  this process with a typical set of data. Visualization of data through data

  mining software is addressed.

• Chapter 3 presents memory-based reasoning methods of data mining.
  Major real applications are described. Algorithms are demonstrated with
  prototypical data based on real applications.

• Chapter 4 discusses association rule methods. Application in the form of
  market basket analysis is discussed. A real data set is described, and a simplified
  version used to demonstrate association rule methods.

• Chapter 5 presents fuzzy data mining approaches. Fuzzy decision tree approaches
  are described, as well as fuzzy association rule applications. Real
  data mining applications are described and demonstrated.

• Chapter 6 presents Rough Sets, a recently popularized data mining method.

• Chapter 7 describes support vector machines and the types of data sets in
  which they seem to have relative advantage.

• Chapter 8 discusses the use of genetic algorithms to supplement various
  data mining operations.

• Chapter 9 describes methods to evaluate models in the process of data
  mining.

• Chapter 10 presents a spectrum of successful applications of the data mining
  techniques, focusing on the value of these analyses to business decision
  

  making.
  

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_Mining_Techniques_Himadri.pdf