MARC details
| 000 -LEADER |
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| fixed length control field |
03281nam a2200457 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
11007926 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
CaPaEBR |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240726104619.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
150126s2015 nyu foab 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781631571213 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
CaBNVSL |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
CaBNVSL |
| Modifying agency |
CaBNVSL |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
HF |
| Item number |
.B875 2015 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Maheshwari, Anil, |
| Dates associated with a name |
1949-, |
| Relator term |
Author |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Business intelligence and data mining /Anil K. Maheshwari. |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
New York, New York (222 East 46th Street, New York, NY 10017) : |
| Name of publisher, distributor, etc. |
Business Expert Press, |
| Date of publication, distribution, etc. |
(c)2015. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (xiv, 162 pages) |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
data file |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Big data and business analytics collection, |
| 505 00 - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Wholeness of business intelligence and data mining -- |
| Title |
2. Business intelligence concepts and applications -- |
| -- |
3. Data warehousing -- |
| -- |
4. Data mining -- |
| -- |
5. Decision trees -- |
| -- |
6. Regression -- |
| -- |
7. Artificial neural networks -- |
| -- |
8. Cluster analysis -- |
| -- |
9. Association rule mining -- |
| -- |
10. Text mining -- |
| -- |
11. Web mining -- |
| -- |
12. Big data -- |
| -- |
13. Data modeling primer -- |
| -- |
Additional resources -- |
| -- |
Index. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Business is the act of doing something productive to serve someone's needs, and thus earn a living, and make the world a better place. Business activities are recorded on paper or using electronic media, and then these records become data. There is more data from customers' responses and on the industry as a whole. All this data can be analyzed and mined using special tools and techniques to generate patterns and intelligence, which reflect how the business is functioning. These ideas can then be fed back into the business so that it can evolve to become more effective and efficient in serving customer needs. And the cycle continues on. Business intelligence includes tools and techniques for data gathering, analysis, and visualization for helping with executive decision making in any industry. Data mining includes statistical and machine-learning techniques to build decision-making models from raw data. Data mining techniques covered in this book include decision trees, regression, artificial neural networks, cluster analysis, and many more. Text mining, web mining, and big data are also covered in an easy way. A primer on data modeling is included for those uninitiated in this topic. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE |
|---|
| System details note |
System requirements: Adobe Acrobat reader. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Title from PDF title page (viewed on January 26, 2015). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business information services. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business intelligence. |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Data Analytics |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Data Mining |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Business Intelligence |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Decision Trees |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Regression |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Neural Networks |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Cluster analysis |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Association rules |
| 856 41 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000349.html">https://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000349.html</a> |
| -- |
Click here to access this RESOURCE ONLINE | Login using your my.ciu username & password |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| PUBLICATION YEAR |
2015 |
| Koha item type |
|
| Classification part |
HF. |
| Delivery Date: ACADEMIC YEAR - ie 2022-2023 |
2021-2022 |
| -- |
Cynthia Snell |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
|---|
| a |
1 |
| b |
Cynthia Snell |
| c |
1 |
| d |
Cynthia Snell |