國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mining the social web /

Klassen, Mikhail,

Mining the social web /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mining the social web /Matthew A. Russell and Mikhail Klassen.
其他題名:	Mining the social web :
作者:	Russell, Matthew A.
其他作者:	Klassen, Mikhail,
出版者:	Sebastopol, CA :O'Reilly Media,2018.
面頁冊數:	xxiv, 400 p. :ill. ;24 cm.
標題:	Data mining.
ISBN:	9781491985045 (pbk.) :

Mining the social web /
Russell, Matthew A.(Computer scientist),

Mining the social web /Mining the social web :data mining Facebook, Twitter, Linkedin, Instagram, Github, and moreMatthew A. Russell and Mikhail Klassen. - 3rd ed. - Sebastopol, CA :O'Reilly Media,2018. - xxiv, 400 p. :ill. ;24 cm.

Includes bibliographical references and index.

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.

ISBN: 9781491985045 (pbk.) :$49.99

Nat. Bib. No.: GBB7F9152bnbSubjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343 / R87 2018

Mining the social web /
LDR:01820nam a2200241 a 4500 001 571078
003 OCoLC
005 20200325113345.0
007 ta
008 200908s2018 caua b 001 0 eng d
015 $a GBB7F9152 $2 bnb
017 8 5 $a cam a2200229 a 450
020 $a 9781491985045 (pbk.) : $c $49.99
020 $a 1491985046 (pbk.)
035 $a 1082346434
040 $a CPG $b eng $c CPG $d IGA $d OCLCO $d NDB $d IMT $d SINLB $d UAP $d GO3 $d OCLCF $d BKL $d ISF $d UKMGB $d AZD $d MLSOD $d BTCTA $d YDX $d BDX $d IUL $d TOL $d UtOrBLW
050 4 $a QA76.9.D343 $b R87 2018
100 1 $a Russell, Matthew A. $c (Computer scientist), $e author $3 857945
245 1 0 $a Mining the social web / $c Matthew A. Russell and Mikhail Klassen.
246 1 4 $a Mining the social web : $b data mining Facebook, Twitter, Linkedin, Instagram, Github, and more
250 $a 3rd ed.
260 $a Sebastopol, CA : $b O'Reilly Media, $c 2018.
300 $a xxiv, 400 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 $a 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 $a Data mining. $3 184440
650 0 $a Online social networks. $3 281852
700 1 $a Klassen, Mikhail, $e author. $3 857946