MARC details
| 000 -LEADER |
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| fixed length control field |
01918nam a22002297a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
140711b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-93-5110-311-0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.312/RUS |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
RUSSELL,MATTHEW A. |
| 245 ## - TITLE STATEMENT |
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| Title |
MINING SOCIAL WEB:DATA MINING,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
MUMBAI |
| Name of publisher, distributor, etc |
SPD |
| Date of publication, distribution, etc |
2013 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiv,421 |
| 365 ## - TRADE PRICE |
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| Price amount |
695.00 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.<br/>Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites<br/>Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data<br/>Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects<br/>Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit<br/>Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format<br/>The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.<br/> |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
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| Additional physical form available note |
WEB/RACK |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
DATA MINING,SOCIAL WEB,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Item type |
Books |
