Principles of Data Mining

  • David J. Hand, Heikki Mannila and Padhraic Smyth

+ Author(s) Name
  • David J. Hand, Heikki Mannila and Padhraic Smyth

  • The book provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. It shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local “memory-based” models also eventually shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.

+ About the Book
  • The book provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. It shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local “memory-based” models also eventually shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.

  • ISBN : 9780262332521

+ ISBN
  • ISBN : 9780262332521

  • Publisher : MIT Press

+ Publisher Details
  • Publisher : MIT Press

  • Year of Publication : 2001

+ Year of Publication
  • Year of Publication : 2001