Uncertainty management in information systems: from needs to solutions
As the subtitle, From Needs to Solutions, indicates, this book presents viewpoints of information systems experts on the needs that challenge the uncertainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems tha...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boston u.a.
Kluwer
1997
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | As the subtitle, From Needs to Solutions, indicates, this book presents viewpoints of information systems experts on the needs that challenge the uncertainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs. Hence, this book is not a collection of research papers, in which researchers describe their latest research projects; such collections, as excellent as they may be, do not necessarily cover an area methodically, and individual papers are often inaccessible to nonexperts. Rather, we began by outlining the structure of a book that will cover the entire spectrum of uncertainty modeling in information systems, and then requested leading experts to write authoritative tutorials and surveys that would fit the outline. |
| Beschreibung: | XVI, 464 S. graph. Darst. |
| ISBN: | 0792398033 |
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| 520 | 3 | |a As the subtitle, From Needs to Solutions, indicates, this book presents viewpoints of information systems experts on the needs that challenge the uncertainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs. Hence, this book is not a collection of research papers, in which researchers describe their latest research projects; such collections, as excellent as they may be, do not necessarily cover an area methodically, and individual papers are often inaccessible to nonexperts. Rather, we began by outlining the structure of a book that will cover the entire spectrum of uncertainty modeling in information systems, and then requested leading experts to write authoritative tutorials and surveys that would fit the outline. | |
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Datensatz im Suchindex
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| adam_text | UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS FROM NEEDS TO SOLUTIONS
EDITED BY AMIHAI MOTRO GEORGE MASON UNIVERSITY FAIRFAX, VA, USA PHILIPPE
SMETS UNIVERSITY LIBRE DE BRUXELLES BRUSSELS, BELGIUM KLUWER ACADEMIC
PUBLISHERS BOSTON/LONDON/DORDRECHT CONTENTS PREFACE XV 1 INTRODUCTION
AMIHAI MOTRO 1 1 SCOPE 1 2 STRUCTURE 5 2 SOURCES OF UNCERTAINTY,
IMPRECISION, AND INCONSISTENCY IN INFORMATION SYSTEMS AMIHAI MOTRO 9 1
INTRODUCTION 9 2 IMPERFECT DESCRIPTIONS: CLASSIFICATION 12 3 IMPERFECT
PESCRIPTIONS: SOLUTIONS 16 4 IMPERFECT MANIPULATION AND PROCESSING 23 5
CHALLENGES 26 3 IMPERFECT INFORMATION IN RELATIONAL DATABASES ESTEBAN
ZIMDNYI AND ALAIN PIROTTE 35 1 INTRODUCTION 35 2 POSSIBLE WORLDS 37 3
MANIPULATING AN IMPERFECT DATABASE 39 4 EXISTENTIAL VALUES 49 5
INEXISTENT VALUES 56 6 OPEN DATABASES AND NULL VALUES 58 7 COMBINATION
OF NULL VALUES 63 VIII UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS 8
UNIVERSAL RELATION DATABASES AND NULL VALUES 64 9 NULL VALUES IN NESTED
RELATIONAL DATABASES 67 10 MAYBE TUPLES 70 11 DISJUNCTIVE DATABASES 71
12 PROBABILISTIC DATABASES 76 UNCERTAINTY IN INTELLIGENT DATABASES
ROBERT DEMOLOMBE 89 1 INTRODUCTION 89 2 INCOMPLETENESS 92 3 VALIDITY 107
4 CONCLUSION 123 UNCERTAIN, INCOMPLETE, AND INCONSISTENT DATA IN
SCIENTIFIC AND STATISTICAL DATABASES STEPHEN KWAN, FRANK OLKEN, AND DOWN
ROTEM 127 1 INTRODUCTION . 127 2 SOURCES OF UNCERTAINTY 128 3 EXAMPLE
DATABASES 136 4 DATABASE ERROR CONTROLS 144 5 DATA ACCURACY AND DATABASE
PERFORMANCE 145 6 MISSING CATEGORICAL DATA 146 7 CONCLUSIONS 147
KNOWLEDGE DISCOVERY AND ACQUISITION FROM IMPERFECT INFORMATION ! GREGORY
PIATETSKY-SHAPIRO 155 1 INTRODUCTION 155 2 UNCERTAINTY MANAGEMENT * *
159 3 KNOWLEDGE DISCOVERY IN DATABASES 160 4 KNOWLEDGE ACQUISITION 167 5
SOURCES OF IMPERFECTION IN DISCOVERED PATTERNS 170 6 SUMMARY 182
CONTENTS IX 7 UNCERTAINTY IN INFORMATION RETRIEVAL SYSTEMS HOWARD R.
TURTLE AND W. BRUCE CROFT 18 9 1 INTRODUCTION 189 2 BACKGROUND 191 3
PRINCIPAL RETRIEVAL MODELS 199 4 CURRENT TRENDS IN INFORMATION RETRIEVAL
207 5 OPEN PROBLEMS 212 8 IMPERFECT INFORMATION: IMPRECISION AND
UNCERTAINTY PHILIPPE SMETS 225 1 IMPERFECT INFORMATION 225 2 VARIETIES
OF IMPERFECT INFORMATION 226 3 MODELING 231 4 COMBINING MODELS OF
IGNORANCE 244 5 CONCLUSION 245 APPENDIX A: A STRUCTURED THESAURUS OF
IMPERFECTION 246 APPENDIX B: THESAURUS ON UNCERTAINTY AND INCOMPLETENESS
248 APPENDIX C: MODELS FOR UNCERTAINTY ON FINITE FRAMES 250 9
PROBABILISTIC AND BAYESIAN REPRESENTATIONS OF UNCERTAINTY IN INFORMATION
SYSTEMS: A PRAGMATIC INTRODUCTION MAX HENRION, HENRI J. SUERMONDT, AND
DAVID E. HECKERMAN 255 1 INTRODUCTION AND OVERVIEW 255 2 BASIC ISSUES IN
BAYESIAN PROBABILITY 256 3 PROBABILISTIC REPRESENTATIONS OF ALTERNATIVE
TYPES OF UN- CERTAINTY 258 4 EXAMPLE PROBLEMS AND THEIR BAYESIAN
SOLUTIONS 263 5 REPRESENTING UNCERTAINTY IN LARGE DATABASES 275 6
CONCLUSIONS 280 UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS 10 AN
INTRODUCTION TO THE FUZZY SET AND POSSIBILITY THEORY-BASED TREATMENT OF
FLEXIBLE QUERIES AND UNCERTAIN OR IMPRECISE DATABASES PATRIC BOSC AND
HENRI PRADE 285 1 INTRODUCTION 285 2 IMPERFECT INFORMATION: VOCABULARY
287 3 FUZZY DATABASES 290 4 FLEXIBLE QUERIES 294 5 IMPERFECT DATA IN A
DATABASE 306 6 INTEGRITY CONSTRAINTS AND FUZZY FUNCTIONAL DEPENDENCIES
312 7 CONCLUDING REMARKS 314 11 LOGICAL HANDLING OF INCONSISTENT AND
DEFAULT INFORMATION PHILIPPE BESNARD, LUIS FARINAS DEL CERRO, DOV
GABBAY, AND ANTHONY HUNTER 325 1 INTRODUCTION 325 2 HANDLING
INCONSISTENT INFORMATION 326 3 HANDLING DEFAULT INFORMATION 328 4
LABELED DEDUCTIVE SYSTEMS FOR PRACTICAL REASONING 332 5 CONCLUSIONS 339
12 THE TRANSFERABLE BELIEF MODEL FOR BELIEF REPRESENTATION PHILIPPE
SMETS AND RUDOLF KRUSE 343 1 INTRODUCTION 343 2 THE TRANSFERABLE BELIEF
MODEL 345 3 THE MATHEMATICS OF THE TBM 347 4 APPLICATIONS TO DATABASES
358 5 APPLICATION WITH SOURCES RELIABILITY 359 6 APPLICATION FOR
DIAGNOSIS 361 7 CONCLUSIONS 363 CONTENTS XI 13 APPROXIMATE REASONING
SYSTEMS: HANDLING UNCERTAINTY AND IMPRECISION IN INFORMATION SYSTEMS
PIERO P. BONISSONE 369 1 INTRODUCTION 369 2 PROBABILISTIC APPROACHES 375
3 FUZZY LOGIC BASED APPROACHES 380 4 CONCLUSIONS 383 14 ON THE
CLASSIFICATION OF UNCERTAINTY TECHNIQUES IN RELATION TO THE APPLICATION
NEEDS E. H. MAMDANI 397 1 INTRODUCTION 397 2 ON THE CLASSIFICATION OF
UNCERTAINTY TECHNIQUES 398 3 ON SOURCES OF UNCERTAINTY 403 4 BUILDING
APPLICATIONS WITH UNCERTAINTY MANAGEMENT 406 5 CONCLUSIONS 408 15 A
BIBLIOGRAPHY ON UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS CURTIS E.
DYRESON 413 413 415 416 426 430 440 442 445 446 447 INDEX 459 1 2 3 4 5
6 7 8 9 10 INTRODUCTION SURVEYS NULL VALUES LOGIC FUZZY SET AND
POSSIBILITY THEORY PROBABILITY THEORY QUERY-LEVEL UNCERTAINTY
SCHEMA-LEVEL UNCERTAINTY COMPLEXITY ANALYSES MISCELLANEOUS
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| language | English |
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| spelling | Uncertainty management in information systems from needs to solutions ed. by Amihai Motro ... Boston u.a. Kluwer 1997 XVI, 464 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier As the subtitle, From Needs to Solutions, indicates, this book presents viewpoints of information systems experts on the needs that challenge the uncertainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs. Hence, this book is not a collection of research papers, in which researchers describe their latest research projects; such collections, as excellent as they may be, do not necessarily cover an area methodically, and individual papers are often inaccessible to nonexperts. Rather, we began by outlining the structure of a book that will cover the entire spectrum of uncertainty modeling in information systems, and then requested leading experts to write authoritative tutorials and surveys that would fit the outline. Dataprocessing gtt Informatiesystemen gtt Inteligencia artificial larpcal Kunstmatige intelligentie gtt Ontbrekende gegevens gtt Onzekerheid gtt Database management System design Uncertainty (Information theory) Decision making Informationssystem (DE-588)4072806-7 gnd rswk-swf Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf Informationssystem (DE-588)4072806-7 s Entscheidung bei Unsicherheit (DE-588)4070864-0 s DE-604 Motro, Amihai Sonstige oth GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007893447&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Uncertainty management in information systems from needs to solutions Dataprocessing gtt Informatiesystemen gtt Inteligencia artificial larpcal Kunstmatige intelligentie gtt Ontbrekende gegevens gtt Onzekerheid gtt Database management System design Uncertainty (Information theory) Decision making Informationssystem (DE-588)4072806-7 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| subject_GND | (DE-588)4072806-7 (DE-588)4070864-0 |
| title | Uncertainty management in information systems from needs to solutions |
| title_auth | Uncertainty management in information systems from needs to solutions |
| title_exact_search | Uncertainty management in information systems from needs to solutions |
| title_full | Uncertainty management in information systems from needs to solutions ed. by Amihai Motro ... |
| title_fullStr | Uncertainty management in information systems from needs to solutions ed. by Amihai Motro ... |
| title_full_unstemmed | Uncertainty management in information systems from needs to solutions ed. by Amihai Motro ... |
| title_short | Uncertainty management in information systems |
| title_sort | uncertainty management in information systems from needs to solutions |
| title_sub | from needs to solutions |
| topic | Dataprocessing gtt Informatiesystemen gtt Inteligencia artificial larpcal Kunstmatige intelligentie gtt Ontbrekende gegevens gtt Onzekerheid gtt Database management System design Uncertainty (Information theory) Decision making Informationssystem (DE-588)4072806-7 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd |
| topic_facet | Dataprocessing Informatiesystemen Inteligencia artificial Kunstmatige intelligentie Ontbrekende gegevens Onzekerheid Database management System design Uncertainty (Information theory) Decision making Informationssystem Entscheidung bei Unsicherheit |
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