Business analytics with R and python (Record no. 8230)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02868nam a22002537a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250119150036.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 250119b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789819747719 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658.4 |
Item number | OLS |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Olson, David L |
245 ## - TITLE STATEMENT | |
Title | Business analytics with R and python |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Singapore |
Date of publication, distribution, etc. | 2024 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | x, 196 p. |
365 ## - TRADE PRICE | |
Price type code | EUR |
Price amount | 64.99 |
490 ## - SERIES STATEMENT | |
Series statement | AI for Risks |
500 ## - GENERAL NOTE | |
General note | Table of content:<br/>Data Mining in Business<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 1-7<br/>Data Mining Processes<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 9-21<br/>Data Mining Software<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 23-40<br/>Association Rules<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 41-62<br/>Cluster Analysis<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 63-98<br/>Regression Algorithms in Data Mining<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 99-124<br/>Classification Tools<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 125-163<br/>Variable Selection<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 165-179<br/>Dataset Balancing<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages 181-193<br/>Correction to: Business Analytics with R and Python<br/>David L. Olson, Desheng Dash Wu, Cuicui Luo, Majid Nabavi<br/>Pages C1-C1<br/>Back Matter<br/>Pages 195-196<br/><br/>[https://link.springer.com/book/10.1007/978-981-97-4772-6] |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.<br/><br/>(https://link.springer.com/book/10.1007/978-981-97-4772-6) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Business--Data processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data mining |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Dash Wu, Desheng |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Luo, Cuicui |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Nabavi, Majid |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
No items available.