Computational and statistical methods for analysing big data with applications / (Record no. 188975)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     Main Library Main Library General Circulation 11/24/2017 Purchased-Fastbooks 9995.00   006.312 .L783 2016 0119557 01/15/2018 01/15/2018 Print Materials