MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03282cam a22004218i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
21875916 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241209112414.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210122s2021 nju b 001 0 eng c |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021002141 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119782476 |
| Qualifying information |
(hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MdU/DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
MdU |
| Modifying agency |
CSPC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HD30.27 |
| Item number |
.B874 2021 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
658.40355028563 |
| Edition number |
23 |
| Item number |
B964 |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Business forecasting : |
| Remainder of title |
the emerging role of artificial intelligence and machine learning / |
| Statement of responsibility, etc. |
edited by Michael Gilliland, Len Tashman, and Udo Sglavo. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2104 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer |
John Wiley & Sons, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 414 pages ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Wiley and SAS business series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Artificial intelligence and machine learning in forecasting -- Big data in forecasting -- Forecasting methods: modeling, selection, and monitoring -- Forecasting performance -- Forecasting process: communication, accountability, and S&OP -- Afterwords: essays on topics in business forecasting. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term This book provides ideas from the most important and influential authors in the field of forecasting on an array of topics that are highly relevant. It provides multiple perspectives on relevant issues like monitoring forecast performance, forecasting process, communication and accountability for the forecast, the use of big data in forecasting, and the role of AI/ML in enhancing traditional time series forecasting methods. Note: Content is mostly material previously published in "practitioner" journals (Foresight and Journal of Business Forecasting), with a few articles from the academic International Journal of Forecasting. Some articles report on academic research, or include case studies, but most are thoughtful discussion of important business forecasting topics, such as the role of the sales force in forecasting, or the value of judgmental overrides to a statistical forecast, or how to determine what forecast error is "avoidable." Articles were chosen for their importance, influence, informativeness, and for being provocative -- leading the reader to new considerations and ideas"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business forecasting. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gilliland, Michael, |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tashman, Len, |
| Dates associated with a name |
1942- |
| Relator term |
editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sglavo, Udo, |
| Dates associated with a name |
1968- |
| Relator term |
editor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Title |
Business forecasting |
| Place, publisher, and date of publication |
Hoboken, New Jersey : Wiley, 2021 |
| International Standard Book Number |
9781119782599 |
| Record control number |
(DLC) 2021002142 |
| 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 |
Books |
| Edition |
23 |
| Classification part |
658.40355028563 |
| Item part |
B964 |
| Call number prefix |
CIR |
| Call number suffix |
2021 |
| Suppress in OPAC |
No |