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[null,"1.","Record Nr.",null,"UNINA9910810570403321"]
[null,null,"Autore",null,"Wang Dong"]
[null,null,"Titolo",null,"Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam : , : Elsevier, , [2015]"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"0-12-800867-9"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (232 p.)"]
[null,null,"Disciplina",null,"302.30285"]
[null,null,"Soggetti",null,"Social media - Data processing"]
[{"$nulls":4},"Information technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"\"\"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\"\""]
[{"$nulls":4},"\"\"2.2 An Application Taxonomy\"\"\"\"2.3 Early Research\"\"; \"\"2.4 The Present Time\"\"; \"\"2.5 ANote on Privacy\"\"; \"\"Chapter 3: Mathematical foundations of social sensing: An introductory tutorial\"\"; \"\"3.1 AMultidisciplinary Background\"\"; \"\"3.2 Basics of Generic Networks\"\"; \"\"3.3 Basics of Bayesian Analysis\"\"; \"\"3.4 Basics of Maximum Likelihood Estimation\"\"; \"\"3.5 Basics of Expectation Maximization\"\"; \"\"3.6 Basics of Confidence Intervals\"\"; \"\"3.7 Putting It All Together\"\"; \"\"Chapter 4: Fact-finding in information networks\"\"; \"\"4.1 Facts, Fact-Finders, and the Existence of Ground Truth\"\""]
[{"$nulls":4},"\"\"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 "]
[{"$nulls":4},"Formulation\"\"; \"\"5.2.3 Deriving the E-Step and M-Step\"\"; \"\"5.3 The EM Fact-Finding Algorithm\"\"; \"\"5.4 Examples and Results\"\""]
[{"$nulls":4},"\"\"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\"\""]
[{"$nulls":4},"\"\"6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification\"\"\"\"Scalability study\"\"; \"\"Trustworthiness and assertiveness study\"\"; \"\"Robustness study\"\"; \"\"6.5.4 AReal World Case Study\"\"; \"\"6.6 Discussion\"\"; \"\"Appendix\"\"; \"\"Chapter 7: Resolving conflicting observations and non-binary claims\"\"; \"\"7.1 Handling Conflicting Binary Observations\"\"; \"\"7.1.1 Extended Model\"\"; \"\"7.1.2 Re-Derive the E-Step and M-Step\"\"; \"\"7.1.3 The Binary Conflict EM Algorithm\"\"; \"\"7.2 Handling Non-Binary Claims\"\"; \"\"7.2.1 Generalized E and M Steps for Non-Binary Measured Variables\"\""]
[{"$nulls":4},"\"\"7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables\"\""]
[null,null,null,"Sommario/riassunto","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"]