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Mining the social web / (Record no. 35345)

000 -LEADER
fixed length control field 01877cam a2200289Ii 4500
003 - CONTROL NUMBER IDENTIFIER
control field jomaaum
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220115143918.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190114t20182019caua b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781491985045
International Standard Book Number 1491985046
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
Item number R87 2018
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 006.312
Item number R961
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Russell, Matthew A.
Titles and other words associated with a name (Computer scientist),
Relator term author
9 (RLIN) 44890
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Mining the social web /
Statement of responsibility, etc Matthew A. Russell and Mikhail Klassen
246 14 - VARYING FORM OF TITLE
Title proper/short title Mining the social web :
Remainder of title data mining Facebook, Twitter, Linkedin, Instagram, Github, and more
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Sebastopol, CA :
Name of publisher, distributor, etc O'Reilly Media,
Date of publication, distribution, etc 2018.
264 #4 - Publication, Copyright Notice (RDA)
Date of publication ©2019
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 400 p. :
Other physical details ill. ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part 1. A guided tour of the social web. Mining Twitter : exploring trending topics, discovering what people are talking about, and more ; Mining Facebook : analyzing fan pages, examining friendships, and more ; Mining Instagram : computer vision, neural networks, object recognition, and face detection ; Mining LinkedIn : faceting job titles, clustering colleagues, and more ; Mining text files : computing document similarity, extracting collocations, and more ; Mining web pages : using natural language processing to understand human language, summarize blog posts, and more ; Mining mailboxes : analyzing who's talking to whom about what, how often, and more ; Mining GitHub : inspecting software collaboration habits, building interest graphs, and more -- Part II. Twitter cookbook -- Part III. Appendixes. A. Information about this book's virtual machine experience ; B. OAuth primer ; C. Python and Jupyter notebook tips and tricks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
Topical term or geographic name as entry element Online social networks
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Klassen, Mikhail,
Relator term author
9 (RLIN) 44891
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Withdrawn status Source of acquisition Total Renewals Cost, replacement price Date last borrowed Total Checkouts Damaged status Barcode Shelving location Current location Public note Full call number
2022-01-01AUM Main Library2022-01-01 2022-01-01 Book  UBCC 30.78   AUM-025006English Collections HallAUM Main Libraryinvoice 2021/1473006.312 R961
2022-01-01AUM Main Library2023-06-21 2022-01-01 Book  UBCC130.782023-06-214 AUM-025007English Collections HallAUM Main Libraryinvoice 2021/1473006.312 R961

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