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Data mining algorithms : explained using R / Paweł Cichosz.
- 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
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