000 -LEADER |
fixed length control field |
01313cam a2200193 i 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9781118332580 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 |
100 1# - MAIN ENTRY--AUTHOR NAME |
Personal name |
Cichosz, Pawel, |
245 10 - TITLE STATEMENT |
Title |
Data mining algorithms : explained using R / |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
683 pages ; |
Other physical details |
illustration ; |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
520 ## - SUMMARY, ETC. |
Summary, etc |
"This book narrows down the scope of data mining by adopting a heavily modeling-oriented perspective"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Data mining. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Computer algorithms. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
R (Computer program language) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
MATHEMATICS / Probability & Statistics / General. |
856 42 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://catalogimages.wiley.com/images/db/jimages/9781118332580.jpg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Electronic Books |