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020 _a9789811577604
_9978-981-15-7760-4
024 7 _a10.1007/978-981-15-7760-4
_2doi
050 4 _aH61.3
072 7 _aUF
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUXJ
_2thema
082 0 4 _a300.00285
_223
100 1 _aLiang, Xun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aSocial Computing with Artificial Intelligence
_h[electronic resource] /
_cby Xun Liang.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXII, 289 p. 37 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 1. Introduction -- Chapter 2. Data Collection -- Chapter 3. Data Processing Methodology -- Chapter 4. Supervised and Unsupervised Learning Models -- Chapter 5. State-of-the-Art Artificial Intelligence Algorithms -- Chapter 6. Social Network Data Mining and Knowledge Discovery -- Chapter 7. Social Network Structure Analysis and Online Community Discovery -- Chapter 8. Social Network Propagation Mechanism and Online User Behavior Analysis -- Chapter 9. Social Computing Application in Public Security and Emergency Management -- Chapter 10. Social Computing Application in Business Decision Support -- Chapter 11. Social Computing Application in Unsupervised Oracle Handwriting Recognition Based on Pic2Vec Image Content Mapping -- Chapter 12. Social Computing Application in Online Crowd Behavior and Psychology.
520 _aThis book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers’ understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.
650 0 _aSocial sciences
_xData processing.
650 0 _aBig data.
650 0 _aData mining.
650 1 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aBig Data.
650 2 4 _aData Mining and Knowledge Discovery.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811577598
776 0 8 _iPrinted edition:
_z9789811577611
776 0 8 _iPrinted edition:
_z9789811577628
856 4 0 _uhttps://doi.org/10.1007/978-981-15-7760-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176528
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