My Account Log in

2 options

Data mining algorithms : explained using R / Paweł Cichosz.

Ebook Central Academic Complete Available online

View online

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Book
Author/Creator:
Cichosz, Paweł, author.
Language:
English
Subjects (All):
Data mining.
Computer algorithms.
R (Computer program language).
Physical Description:
1 online resource (718 pages) : illustrations
Edition:
1st ed.
Place of Publication:
Chichester, England : Wiley, 2015.
Language Note:
English
Summary:
"This book narrows down the scope of data mining by adopting a heavily modeling-oriented perspective"-- Provided by publisher.
Contents:
Part I. Preliminaries
1. Tasks
2. Basic statistics
Part II. Classification
3. Decision trees
4. Naèive Bayes classifier
5. Linear classification
6. Misclassification costs
7. Classification model evaluation
Part III. Regression
8. Linear regression
9. Regression trees
10. Regression model evaluation
Part IV. Clustering
11. (Dis)similarity measures
12. k-Centers clustering
13. Hierarchical clustering
14. Clustering model evaluation
Part V. Getting better models
15. Model ensembles
16. Kernel methods
17. Attribute transformation
18. Discretization
19. Attribute selection.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references at the end of each chapters and index.
Description based on print version record.
ISBN:
9781118950845
1118950844
9781118950951
111895095X
9781118332580
111833258X
OCLC:
896796372

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account