Principles of Data Mining

Principles of Data Mining

3.72 (29 ratings by Goodreads)
By (author)  , By (author)  , By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 3 business days
When will my order arrive?

Description

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, 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. The third section 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.
show more

Product details

  • Hardback | 578 pages
  • 203 x 229 x 32mm | 1,179g
  • Bradford Books
  • Massachusetts, United States
  • English
  • 89 b&w illus.; 178 Illustrations, unspecified
  • 026208290X
  • 9780262082907
  • 1,225,242

Rating details

29 ratings
3.72 out of 5 stars
5 17% (5)
4 48% (14)
3 24% (7)
2 10% (3)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X