MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03076cam a2200361 a 4500 |
| 001 - ACCESSION NUMBER |
|---|
| control field |
25827 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CUTN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20170418104849.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
100921s2011 flua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2010036935 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781439810187 (hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Modifying agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.D343 |
| Item number |
T67 2011 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3/12 |
| Edition number |
22 |
| 084 ## - OTHER CLASSIFICATION NUMBER |
|---|
| Classification number |
BUS061000 |
| -- |
COM000000 |
| -- |
COM021030 |
| Source of number |
bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Torgo, Luís. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Data mining with R : |
| Remainder of title |
learning with case studies / |
| Statement of responsibility, etc |
Luís Torgo. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Boca Raton : |
| Name of publisher, distributor, etc |
Chapman & Hall/CRC, |
| Date of publication, distribution, etc |
c2011. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 289 p. : |
| Other physical details |
ill. ; |
| Dimensions |
25 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Chapman & Hall/CRC data mining and knowledge discovery series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references (p. 269-277) and indexes. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"-- |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| Form subdivision |
Case studies. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
BUSINESS & ECONOMICS / Statistics |
| Source of heading or term |
bisacsh. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COMPUTERS / General |
| Source of heading or term |
bisacsh. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Database Management / Data Mining |
| Source of heading or term |
bisacsh. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
General Books |
