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" Uncertainty Management in Information Systems : "
edited by Amihai Motro, Philippe Smets.
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BL
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| Record Number
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722423
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b542135
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| Main Entry
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edited by Amihai Motro, Philippe Smets.
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| Title & Author
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Uncertainty Management in Information Systems : : From Needs to Solutions\ edited by Amihai Motro, Philippe Smets.
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| Publication Statement
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Boston, MA: Springer US : Imprint : Springer, 1997
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| Page. NO
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(480 pages)
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| ISBN
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1461378656
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: 1461562457
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: 9781461378655
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: 9781461562450
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| Contents
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1 Introduction --;1 Scope --;2 Structure --;2 Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems --;1 Introduction --;2 Imperfect Descriptions: Classification --;3 Imperfect Descriptions: Solutions --;4 Imperfect Manipulation and Processing --;5 Challenges --;3 Imperfect Information in Relational Databases --;1 Introduction --;2 Possible Worlds --;3 Manipulating an Imperfect Database --;4 Existential Values --;5 Inexistent Values --;6 Open Databases and Null Values --;7 Combination of Null Values --;8 Universal Relation Databases and Null Values --;9 Null Values in Nested Relational Databases --;10 Maybe Tuples --;11 Disjunctive Databases --;12 Probabilistic Databases --;4 Uncertainty in Intelligent Databases --;1 Introduction --;2 Incompleteness --;3 Validity --;4 Conclusion --;5 Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases --;1 Introduction --;2 Sources of Uncertainty --;3 Example Databases --;4 Database Error Controls --;5 Data Accuracy and Database Performance --;6 Missing Categorical Data --;7 Conclusions --;6 Knowledge Discovery and Acquisition from Imperfect Information --;1 Introduction --;2 Uncertainty Management --;3 Knowledge Discovery in Databases --;4 Knowledge Acquisition --;5 Sources of Imperfection in Discovered Patterns --;6 Summary --;7 Uncertainty In Information Retrieval Systems --;1 Introduction --;2 Background --;3 Principal Retrieval Models --;4 Current Trends in Information Retrieval --;5 Open Problems --;8 Imperfect Information: Imprecision and Uncertainty --;1 Imperfect Information --;2 Varieties of Imperfect Information --;3 Modeling --;4 Combining Models of Ignorance --;5 Conclusion --;Appendix A: A Structured Thesaurus of Imperfection --;Appendix B: Thesaurus on Uncertainty and Incompleteness --;Appendix C: Models for Uncertainty on Finite Frames --;9 Probabilistic and Bayesian Representations of Uncertainty in Information Systems: a Pragmatic Introduction --;1 Introduction and Overview --;2 Basic Issues in Bayesian Probability --;3 Probabilistic Representations of Alternative Types of Uncertainty --;4 Example Problems and Their Bayesian Solutions --;5 Representing Uncertainty in Large Databases --;6 Conclusions --;10 An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases --;1 Introduction --;2 Imperfect Information: Vocabulary --;3 Fuzzy Databases --;4 Flexible Queries --;5 Imperfect Data in a Database --;6 Integrity Constraints and Fuzzy Functional Dependencies --;7 Concluding Remarks --;11 Logical Handling of Inconsistent and Default Information --;1 Introduction --;2 Handling Inconsistent Information --;3 Handling Default Information --;4 Labeled Deductive Systems for Practical Reasoning --;5 Conclusions --;12 The Transferable Belief Model for Belief Representation --;1 Introduction --;2 The Transferable Belief Model --;3 The Mathematics of the TBM --;4 Applications to Databases --;5 Application with Sources Reliability --;6 Application for Diagnosis --;7 Conclusions --;13 Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems --;1 Introduction --;2 Probabilistic Approaches --;3 Fuzzy Logic Based Approaches --;4 Conclusions --;14 On the Classification of Uncertainty Techniques in Relation to the Application Needs --;1 Introduction --;2 On the Classification of Uncertainty Techniques --;3 On Sources of Uncertainty --;4 Building Applications with Uncertainty Management --;5 Conclusions --;15 A Bibliography on Uncertainty Management in Information Systems --;1 Introduction --;2 Surveys --;3 Null Values --;4 Logic --;5 Fuzzy Set and Possibility Theory --;6 Probability Theory --;7 Query-level Uncertainty --;8 Schema-level Uncertainty --;9 Complexity Analyses --;10 Miscellaneous.
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| Abstract
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As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty.
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| Subject
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Artificial intelligence.
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Computer science.
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Text processing (Computer science)
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| LC Classification
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QA76.9.D3E358 1997
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| Added Entry
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Amihai Motro
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Philippe Smets
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