你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications
Type
Physical Book
Author
Publisher
Year
2005
Language
English
Pages
344
Format
Hardcover
Dimensions
23.7x16.1x2.4 cm
Weight
0.64 kg.
ISBN
9812560793
ISBN13
9789812560797
Categories

Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications

Lior Rokach (Author) · Oded Z. Maimon (Author) · World Scientific Publishing Company · Hardcover

Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications - Maimon, Oded Z. ; Rokach, Lior

New Book Imported to Taiwan
Delivery: 05 Oct - 13 Oct Shipping: 5 to 6 business days.
NT$ 5,620
NT$ 5,620

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Decomposition Methodology for Knowledge Discovery and Data Mining: Theory and Applications"

Data Mining is the science and technology of exploring data in order to discover previously unknown patterns. It is a part of the overall process of Knowledge Discovery in Databases (KDD). The accessibility and abundance of information today makes data mining a matter of considerable importance and necessity. This book provides an introduction to the field with an emphasis on advanced decomposition methods in general data mining tasks and for classification tasks in particular. The book presents a complete methodology for decomposing classification problems into smaller and more manageable sub-problems that are solvable by using existing tools. The various elements are then joined together to solve the initial problem.The benefits of decomposition methodology in data mining include: increased performance (classification accuracy); conceptual simplification of the problem; enhanced feasibility for huge databases; clearer and more comprehensible results; reduced runtime by solving smaller problems and by using parallel/distributed computation; and the opportunity of using different techniques for individual sub-problems.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews