01478nam0 2200337 i 450 SUN000237020111026104546.71188-02-04796-020020701d1994 |0itac50 baitaIT|||| |||||Corso di diritto internazionale privato e processualeEdoardo Vitta, Franco Mosconi5. edTorinoUTET1994XX, 420 p.24 cm.Diritto internazionale privatoFISUNC000133Diritto internazionale processualeFISUNC000134TorinoSUNL000001340.921Vitta, EdoardoSUNV002535229370Mosconi, FrancoSUNV00251783982UTETSUNV000072650ITSOL20181109RICASUN0002370UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00 CONS XIII.Cb.4 00 5095 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00 CONS XIII.Cb.4 bis 00 7437 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA5095CONS XIII.Cb.4paUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA7437CONS XIII.Cb.4 bispaCorso di diritto internazionale privato e processuale67426UNICAMPANIA03716nam 22006495 450 991029929740332120200706092953.0981-10-7847-510.1007/978-981-10-7847-7(CKB)4100000007003127(MiAaPQ)EBC5553474(DE-He213)978-981-10-7847-7(PPN)231458754(EXLCZ)99410000000700312720181012d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCrowdsourced Data Management Hybrid Machine-Human Computing /by Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J. Franklin1st ed. 2018.Singapore :Springer Singapore :Imprint: Springer,2018.1 online resource (169 pages)981-10-7846-7 1. Introduction -- 2. Crowdsourcing Background. 3. Quality Control -- 4. Cost Control -- 5. Latency Control -- 6. Crowdsourcing Database Systems and Optimization -- 7. Crowdsourced Operators -- Conclusion.This 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.Big dataDatabase managementComputers, Special purposeData miningMobile computingBig Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Special Purpose and Application-Based Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I13030Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Mobile Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I29060Big data.Database management.Computers, Special purpose.Data mining.Mobile computing.Big Data.Database Management.Special Purpose and Application-Based Systems.Data Mining and Knowledge Discovery.Mobile Computing.658.4038Li Guoliangauthttp://id.loc.gov/vocabulary/relators/aut922417Wang Jiannanauthttp://id.loc.gov/vocabulary/relators/autZheng Yudianauthttp://id.loc.gov/vocabulary/relators/autFan Juauthttp://id.loc.gov/vocabulary/relators/autFranklin Michael Jauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299297403321Crowdsourced Data Management2069889UNINA