MARC details
000 -LEADER |
fixed length control field |
03464nam a22005295i 4500 |
001 - CONTROL NUMBER |
control field |
ssj0001762294 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
WaSeSS |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220423114734.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
fixed length control field |
m d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr n |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
161227s2017 xxu| o |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484225141 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484225134 (print) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484225158 (print) |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-2514-1 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Modifying agency |
WaSeSS |
Transcribing agency |
AIMIT LIBRARY |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.B45 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UN |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM021000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UN |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.764 |
Item number |
HODU |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) |
Koha Dewey Subclass [OBSOLETE] |
03645878 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Hodeghatta, Umesh R. |
9 (RLIN) |
31322 |
245 10 - TITLE STATEMENT |
Title |
Business analytics using R : |
Statement of responsibility, etc. |
By Umesh R. Hodeghatta and Umesha Nayak. |
Remainder of title |
practical approach / |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2017. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
London : |
Name of publisher, distributor, etc. |
Apress , |
Date of publication, distribution, etc. |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvii,280 p.; |
Other physical details |
PB |
Dimensions |
24.5 cm. |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
506 ## - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
Requires an SPL library card. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. You will: • Write R programs to handle data • Build analytical models and draw useful inferences from them • Discover the basic concepts of data mining and machine learning • Carry out predictive modeling • Define a business issue as an analytical problem. |
538 ## - SYSTEM DETAILS NOTE |
System details note |
Mode of access: World Wide Web. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Business analytics process and data exploration |
9 (RLIN) |
31323 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Supervised machine learning |
9 (RLIN) |
31324 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Simple linear regression |
9 (RLIN) |
31325 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Big data analysis |
9 (RLIN) |
31326 |
655 #7 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic books. |
Source of term |
local |
9 (RLIN) |
31327 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Nayak, Umesha. |
9 (RLIN) |
31328 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
9 (RLIN) |
31329 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
O'Reilly (Firm) |
9 (RLIN) |
31330 |
710 20 - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
Serials Solutions |
9 (RLIN) |
31331 |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484225134 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9781484225158 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Link text |
View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
Uniform Resource Identifier |
<a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484225141/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484225141/?ar</a> |
Public note |
An e-book available through full-text database. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Edition |
1st ed. |
Call number prefix |
005.764 HODU |