MARC details
| 000 -LEADER |
| fixed length control field |
03842cam a2200589 i 4500 |
| 001 - CONTROL NUMBER |
| control field |
871689683 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20181015101406.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
| fixed length control field |
cr ||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
140305s2014 nju o 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2014009116 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781118920695 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1118920694 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781118920701 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
1118920708 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
9781118618042 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
9781118691786 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Cancelled/invalid ISBN |
1118691784 |
| 035 ## - SYSTEM CONTROL NUMBER |
| System control number |
(OCoLC)871689683 |
| Canceled/invalid control number |
(OCoLC)879947237 |
| -- |
(OCoLC)882242178 |
| -- |
(OCoLC)907398091 |
| 037 ## - SOURCE OF ACQUISITION |
| Stock number |
8F0D6964-40B1-448E-8067-CF7F8E596F20 |
| Source of stock number/acquisition |
OverDrive, Inc. |
| Note |
http://www.overdrive.com |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
N$T |
| -- |
OCLCF |
| -- |
MHW |
| -- |
EBLCP |
| -- |
DG1 |
| -- |
YDXCP |
| -- |
DEBSZ |
| -- |
CUS |
| -- |
B24X7 |
| -- |
COO |
| -- |
E7B |
| -- |
TEFOD |
| -- |
CHVBK |
| -- |
UMI |
| 042 ## - AUTHENTICATION CODE |
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HD30.2 |
| 072 #7 - SUBJECT CATEGORY CODE |
| Subject category code |
BUS |
| Subject category code subdivision |
082000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
| Subject category code |
BUS |
| Subject category code subdivision |
041000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
| Subject category code |
BUS |
| Subject category code subdivision |
042000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
| Subject category code |
BUS |
| Subject category code subdivision |
085000 |
| Source |
bisacsh |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
004.6 |
| Edition number |
23 |
| Item number |
D.J.B |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Dean, Jared, |
| 245 10 - TITLE STATEMENT |
| Title |
Big data, data mining and machine learning : |
| Remainder of title |
value creation for business leaders and practitioners / |
| Statement of responsibility, etc |
Jared Dean |
| 250 ## - EDITION STATEMENT |
| Edition statement |
1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Hoboken, New Jersey : |
| Name of publisher, distributor, etc |
John Wiley and Sons, Inc., |
| Date of publication, distribution, etc |
[2014] |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS |
| Place of production, publication, distribution, manufacture |
Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer |
John Wiley and Sons, Inc., |
| Date of production, publication, distribution, manufacture |
[2014] |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
ill |
| 336 ## - CONTENT TYPE |
| Content Type Term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media Type Term |
computer |
| Source |
rdamedia |
| 490 1# - SERIES STATEMENT |
| Series statement |
Wiley and SAS Business Series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Hardware -- Distributed systems -- Analytical tools -- Predictive modeling -- Common predictive modeling techniques -- Segmentation -- Incremental response modeling -- Time series date mining -- Recommendation systems -- Text analytics -- Case study of a large U.S.-based financial services company -- Case study of a major health care provider -- Case study of a technology manufacturer -- Case study of online brand management -- Case study of mobile application recommendations -- Case study of a high-tech product manufacturer -- Looking to the future |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
| Terms governing access |
Available to OhioLINK libraries |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Management |
| General subdivision |
Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Data mining |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Big data |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Database management |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Information technology |
| General subdivision |
Management |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
| Corporate name or jurisdiction name as entry element |
Ohio Library and Information Network |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Display text |
Print version: |
| Main entry heading |
Dean, Jared, 1978- |
| Title |
High performance data mining and machine learning |
| Place, publisher, and date of publication |
Hoboken, New Jersey : John Wiley and Sons, Inc., [2014] |
| International Standard Book Number |
9781118618042 |
| Record control number |
(DLC) 2014005823 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |