MARC details
000 -LEADER |
fixed length control field |
02305nam a22003137a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
PILC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20180115164242.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180115b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780128037324 |
040 ## - CATALOGING SOURCE |
Language of cataloging |
eng |
Transcribing agency |
JRU Library |
Description conventions |
rda |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 |
Item number |
23 |
245 ## - TITLE STATEMENT |
Title |
Computational and statistical methods for analysing big data with applications / |
Statement of responsibility, etc. |
Shen Liu, The School of Mathematical Sciences and the ARC Centre of Excellence for Mathematical & Statistical Frontiers, Queensland University of Technology, Australia, James McGree, The School of Mathematical Sciences and the ARC Centre of Excellence for Mathematical & Statistical Frontiers, Queensland University of Technology, Australia, Zongyuan Ge, Cyphy Robotics Lab, Queensland University of Technology, Australia, Yang Xie, The Graduate School of Biomedial Engineering, the University of New Spoutjh Wales, Australia. |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
London : |
Name of producer, publisher, distributor, manufacturer |
Academic Press is an imprint of Elsevier, |
Date of production, publication, distribution, manufacture, or copyright notice |
c2016 |
-- |
copyright 2016 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
194 pages ; |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
Content type term |
text |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data." --Publisher's description. <br/><br/> |
521 ## - TARGET AUDIENCE NOTE |
Target audience note |
Adult |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
123814 |
Topical term or geographic name as entry element |
Big data |
General subdivision |
Statistical methods. |
|
9 (RLIN) |
90680 |
Topical term or geographic name as entry element |
Quantitative research. |
|
Topical term or geographic name as entry element |
Quantitative research |
General subdivision |
Statistical methods. |
9 (RLIN) |
128345 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
McGree, James, |
Relator term |
author. |
9 (RLIN) |
128346 |
|
Personal name |
Ge, Zongyuan, |
Relator term |
author. |
9 (RLIN) |
128347 |
|
Personal name |
Xie, Yang, |
Relator term |
author. |
9 (RLIN) |
128348 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Print Materials |