Business analytics with R and python (Record no. 8230)

MARC details
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.

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha