LEADER 05384nam 2200661 450 001 996426329703316 005 20200520144314.0 010 $a0-12-800867-9 035 $a(CKB)3710000000400417 035 $a(EBL)2028579 035 $a(OCoLC)913618826 035 $a(SSID)ssj0001540296 035 $a(PQKBManifestationID)11936726 035 $a(PQKBTitleCode)TC0001540296 035 $a(PQKBWorkID)11533909 035 $a(PQKB)11288899 035 $a(MiAaPQ)EBC2028579 035 $a(CaSebORM)9780128008676 035 $a(Au-PeEL)EBL2028579 035 $a(CaPaEBR)ebr11049244 035 $a(CaONFJC)MIL770358 035 $a(OCoLC)909802602 035 $a(EXLCZ)993710000000400417 100 $a20150501h20152015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial sensing $ebuilding reliable systems on unreliable data /$fDong Wang, Tarek Abdelzaher, Lance Kaplan 205 $aFirst edition. 210 1$aAmsterdam :$cElsevier,$d[2015] 210 4$dİ2015 215 $a1 online resource (232 p.) 300 $aDescription based upon print version of record. 311 $a0-12-801131-9 320 $aIncludes bibliographical references and index. 327 $a""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"" 327 $a""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"" 327 $a""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"" 327 $a""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"" 327 $a""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"" 327 $a""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" 330 $a 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 individu 606 $aSocial media$xData processing 606 $aInformation technology 608 $aElectronic books. 615 0$aSocial media$xData processing. 615 0$aInformation technology. 676 $a302.30285 700 $aWang$b Dong$0596182 702 $aAbdelzaher$b Tarek 702 $aKaplan$b Lance 801 0$bMiAaPQ 906 $aBOOK 912 $a996426329703316 996 $aSocial sensing$92100236 997 $aUNISA