MINING SOCIAL WEB:DATA MINING,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE

By:

RUSSELL,MATTHEW A

Material type: Text

TextPublication details: MUMBAI SPD 2013Description: xxiv,421ISBN:

978-93-5110-311-0

Subject(s):

DATA MINING,SOCIAL WEB,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE

DDC classification:

2nd. 006.312/RUS

WEB/RACKSummary: 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. Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format 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.

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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Data Warehosing	006.312/RUS (Browse shelf(Opens below))	Available	DATA MINING,SOCIAL WEB,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE		SICSR-B-18515

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Previous	005.74/PON DATA WAREHOUSING:FUNDAMENTALS FOR IT PROFESSIONALS	005.74/PON DATA WAREHOUSING:FUNDAMENTALS FOR IT PROFESSIONALS	006.312/DTE BIG DATA BLACK BOOK(COVERS HADOOP 2,MAP REDUCE,HIVE,YARN,PIG,R AND DATA VISUALIZATION)	006.312/RUS MINING SOCIAL WEB:DATA MINING,FACE BOOK,TWITTER,LINKEDIN,GOOGLE+,GITHUB,AND MORE	006.3/BHA ARTIFICIAL INTELLIGENCE FOR STUDENTS	658.40302855133/PUT/KRI CUSTOMER AND BUSINESS ANALYTICS:APPLIED DATA MINING FOR BUSINESS DECISION MAKING USING R

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.
Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format
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.

WEB/RACK

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