LEADER 03716nam  22006495  450 
001 9910299297403321
005 20200706092953.0
010   $a981-10-7847-5
024 7 $a10.1007/978-981-10-7847-7
035   $a(CKB)4100000007003127
035   $a(MiAaPQ)EBC5553474
035   $a(DE-He213)978-981-10-7847-7
035   $a(PPN)231458754
035   $a(EXLCZ)994100000007003127
100   $a20181012d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCrowdsourced Data Management $eHybrid Machine-Human Computing /$fby Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J. Franklin
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (169 pages)
311   $a981-10-7846-7 
327   $a1. Introduction -- 2. Crowdsourcing Background. 3. Quality Control -- 4. Cost Control -- 5. Latency Control -- 6. Crowdsourcing Database Systems and Optimization -- 7. Crowdsourced Operators -- Conclusion.
330   $aThis book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and recent advances. The authors identify three key aspects in determining the performance of crowdsourced data management: quality control, cost control and latency control. By surveying and synthesizing a wide spectrum of studies on crowdsourced data management, the book outlines important factors that need to be considered to improve crowdsourced data management. It also introduces a practical crowdsourced-database-system design and presents a number of crowdsourced operators. Self-contained and covering theory, algorithms, techniques and applications, it is a valuable reference resource for researchers and students new to crowdsourced data management with a basic knowledge of data structures and databases.
606   $aBig data
606   $aDatabase management
606   $aComputers, Special purpose
606   $aData mining
606   $aMobile computing
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aMobile Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I29060
615  0$aBig data.
615  0$aDatabase management.
615  0$aComputers, Special purpose.
615  0$aData mining.
615  0$aMobile computing.
615 14$aBig Data.
615 24$aDatabase Management.
615 24$aSpecial Purpose and Application-Based Systems.
615 24$aData Mining and Knowledge Discovery.
615 24$aMobile Computing.
676   $a658.4038
700   $aLi$b Guoliang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0922417
702   $aWang$b Jiannan$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZheng$b Yudian$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aFan$b Ju$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aFranklin$b Michael J$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299297403321
996   $aCrowdsourced Data Management$92069889
997   $aUNINA