000			02972nam a22005535i 4500
001			978-1-4614-9372-3
003			DE-He213
005			20140220082505.0
007			cr nn 008mamaa
008			131111s2014 xxu| s |||| 0|eng d
020			_a9781461493723 _9978-1-4614-9372-3
024	7		_a10.1007/978-1-4614-9372-3 _2doi
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
072		7	_aUYQE _2bicssc
072		7	_aCOM021030 _2bisacsh
082	0	4	_a006.312 _223
100	1		_aKumar, Shamanth. _eauthor.
245	1	0	_aTwitter Data Analytics _h[electronic resource] / _cby Shamanth Kumar, Fred Morstatter, Huan Liu.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014.
300			_aX, 77 p. 26 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Computer Science, _x2191-5768
505	0		_aIntroduction -- Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data.
520			_aThis brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.
650		0	_aComputer science.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aMultimedia systems.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aMultimedia Information Systems.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aDatabase Management.
700	1		_aMorstatter, Fred. _eauthor.
700	1		_aLiu, Huan. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461493716
830		0	_aSpringerBriefs in Computer Science, _x2191-5768
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-9372-3
912			_aZDB-2-SCS
999			_c92365 _d92365