05384nam 2200661 450 99642632970331620200520144314.00-12-800867-9(CKB)3710000000400417(EBL)2028579(OCoLC)913618826(SSID)ssj0001540296(PQKBManifestationID)11936726(PQKBTitleCode)TC0001540296(PQKBWorkID)11533909(PQKB)11288899(MiAaPQ)EBC2028579(CaSebORM)9780128008676(Au-PeEL)EBL2028579(CaPaEBR)ebr11049244(CaONFJC)MIL770358(OCoLC)909802602(EXLCZ)99371000000040041720150501h20152015 uy| 0engur|n|---|||||txtccrSocial sensing building reliable systems on unreliable data /Dong Wang, Tarek Abdelzaher, Lance KaplanFirst edition.Amsterdam :Elsevier,[2015]©20151 online resource (232 p.)Description based upon print version of record.0-12-801131-9 Includes bibliographical references and index.""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth""""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results""""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables""""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuSocial mediaData processingInformation technologyElectronic books.Social mediaData processing.Information technology.302.30285Wang Dong596182Abdelzaher TarekKaplan LanceMiAaPQBOOK996426329703316Social sensing2100236UNISA02619nam 2200661 a 450 991078104140332120230721005805.01-282-48795-797866124879581-59403-359-5(CKB)2550000000006047(EBL)478452(OCoLC)609853938(SSID)ssj0000360413(PQKBManifestationID)11272769(PQKBTitleCode)TC0000360413(PQKBWorkID)10318903(PQKB)10391331(SSID)ssj0001437984(PQKBManifestationID)12618745(PQKBTitleCode)TC0001437984(PQKBWorkID)11377823(PQKB)10569730(MiAaPQ)EBC478452(Au-PeEL)EBL478452(CaPaEBR)ebr10330846(EXLCZ)99255000000000604720060808d2007 uy 0engur|n|---|||||txtccrThe future of marriage[electronic resource] /David Blankenhorn1st ed.New York Encounter Books20071 online resource (346 p.)Description based upon print version of record.1-59403-241-6 1-59403-081-2 Includes bibliographical references and index.What is marriage? -- Prehistory -- The river valleys -- The Trobriand Islands -- What marriage is -- Deinstitutionalize marriage? -- Goods in conflict -- Determining marriage's fate.The idea of this book began in a conversation David Blankenhorn had with the president of Freedom to Marry, a group advocating equal marriage rights for same-sex couples. This man asked Blankenhorn, a leading figure in the ?marriage movement," to endorse his group's objectives. Feeling a bit defensive, Blankenhorn replied, ?Every child deserves a mother and a father." The Future of Marriage is the result of that conversation. In their current demands, Blankenhorn points out, gay and lesbian leaders are not asking for marriage with an adjective in front of it, but marriage itself. So in tMarriageMarriageHistorySame-sex marriageMarriage.MarriageHistory.Same-sex marriage.306.84/8Blankenhorn David1503262MiAaPQMiAaPQMiAaPQBOOK9910781041403321The future of marriage3862511UNINA