| 000 -LEADER |
|---|
| fixed length control field |
03097cam a22003378i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230824095726.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
200113s2020 nju b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119549840 |
|
|---|
| International Standard Book Number |
9781119549857 |
|
|---|
| International Standard Book Number |
9781119549864 |
| 041 ## - Language |
|---|
| Language code of text/sound track or separate title |
eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HF5548.2 |
| Item number |
.S44843 2020 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3120965 |
| Edition number |
23 |
| Item number |
S558 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shmueli, Galit, |
| Dates associated with a name |
1971- |
| Relator term |
author. |
| 9 (RLIN) |
45398 |
| 240 10 - UNIFORM TITLE |
|---|
| Uniform title |
Data mining for business intelligence |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Data mining for business analytics : |
| Remainder of title |
concepts, techniques and applications in Python / |
| Statement of responsibility, etc |
Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 574 p. : |
| Other physical details |
ill. col. ; |
| Dimensions |
26 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Foreword / by Gareth James -- Foreword / by Ravi Bapna -- Preface to the Python edition -- Overview of the data mining process -- Data visualization -- Dimension reduction -- Evaluating predictive performance -- Multiple linear regression -- k-nearest neighbors (kNN) -- The naive Bayes classifier -- Classification and regression trees -- Logistic regression -- Neural nets -- Discriminant analysis -- Combining methods : ensembles and uplift modeling -- Association rules and collaborative filtering -- Cluster analysis -- Handling time series -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Business mathematics |
| General subdivision |
Computer programs. |
| 9 (RLIN) |
13444 |
|
|---|
| Topical term or geographic name as entry element |
Business |
| General subdivision |
Data processing. |
|
|---|
| Topical term or geographic name as entry element |
Data mining. |
|
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 9 (RLIN) |
4569 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Bruce, Peter C., |
| Dates associated with a name |
1953- |
| Relator term |
author. |
| 9 (RLIN) |
44850 |
|
|---|
| Personal name |
Gedeck, Peter, |
| Relator term |
author. |
| 9 (RLIN) |
44854 |
|
|---|
| Personal name |
Patel, Nitin R. |
| Fuller form of name |
(Nitin Ratilal), |
| Relator term |
author. |
| 9 (RLIN) |
45399 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Online version: |
| Main entry heading |
Shmueli, Galit, 1971- |
| Title |
Data mining for business analytics. |
| Place, publisher, and date of publication |
Hoboken, NJ : John Wiley & Sons, Inc., 2020 |
| International Standard Book Number |
9781119549857 |
| Record control number |
(DLC) 2019025015 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
