Social Sensing : (Record no. 49698)
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| 001 - CONTROL NUMBER | |
| control field | EBC2028579 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240729123545.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2015 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128011317 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780128008676 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC2028579 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL2028579 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr11049244 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaONFJC)MIL770358 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)909802602 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HM742 -- .W36 2015eb |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 302.30285 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Wang, Dong. |
| 245 10 - TITLE STATEMENT | |
| Title | Social Sensing : |
| Remainder of title | Building Reliable Systems on Unreliable Data. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | San Diego : |
| Name of producer, publisher, distributor, manufacturer | Elsevier Science & Technology, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2015. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2015. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (232 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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 -- 7.3 Performance Evaluation -- 7.3.1 AReal World Application -- 7.3.2 ASimulation Study for Conflicting Observations -- 7.3.3 ASimulation Study for Non-Binary Claims -- 7.4 Discussion -- Appendix -- Chapter 8: Understanding the social network -- 8.1 Information Propagation Cascades -- 8.2 ABinary Model of Human Sensing -- 8.2.1 ABinary Sensor Model -- 8.2.2 Uncertain Provenance -- 8.2.3 AWord on Simplicity -- 8.3 Inferring the Social Network -- 8.3.1 Data Collection -- 8.3.2 Computing the Source-Claim Graph -- 8.3.3 Inferring the Social Network -- 8.3.4 Solving the Estimation Problem -- 8.4 ASocial-Aware Algorithm -- 8.4.1 Deriving the Likelihood -- 8.4.2 Deriving the E-Step and M-Step -- 8.4.3 The Social-Aware EM Algorithm -- 8.5 Evaluation -- 8.6 Discussion and Limitations -- Chapter 9: Understanding physical dependencies -- 9.1 Correlations in the Physical World -- 9.2 Accounting for the Opportunity to Observe. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 9.2.1 Deriving the Likelihood -- 9.2.2 The OtO EM Algorithm -- 9.3 Accounting for Physical Dependencies -- 9.3.1 Deriving the Likelihood -- 9.3.2 The OtO+DV Algorithm -- 9.4 Real-World Case Studies -- 9.4.1 Opportunity to Observe -- 9.4.2 Dependent Variables -- 9.5 Discussion -- Appendix -- Derivation of the E-Step and M-Step of OtO EM -- Derivation of E-Step and M-Step of DV and OtO+DV EM -- Chapter 10: Recursive fact-finding -- 10.1 Real Time Social Sensing -- 10.2 A Streaming Truth Estimation Model -- 10.3 Dynamics and the Recursive Algorithm -- 10.3.1 The Derivation -- 10.3.2 The Recursive EM Algorithm -- 10.4 Performance Evaluation -- 10.4.1 Simulation Study -- 10.4.2 AReal World Case Study -- 10.5 Discussion -- Chapter 11: Further readings -- 11.1 Estimation Theory -- 11.2 Data Quality and Trust Analysis -- 11.3 Outlier Analysis and Attack Detection -- 11.4 Recommender Systems -- 11.5 Surveys and Opinion Polling -- Chapter 12: Conclusions and future challenges -- 12.1 Summary and Conclusions -- 12.2 Remaining Challenges and Future Work -- References -- Index -- Front Cover. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information technology. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abdelzaher, Tarek. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kaplan, Lance. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Wang, Dong |
| Title | Social Sensing |
| Place, publisher, and date of publication | San Diego : Elsevier Science & Technology,c2015 |
| International Standard Book Number | 9780128008676 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=2028579">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=2028579</a> |
| Public note | Click to View |
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