Incomplete Information: Rough Set Analysis:
The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two par...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
1998
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
13 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two particular aspects of incompleteness, namely indiscernibility and similarity. Those manifestations of particular aspects of incompleteness are inherent in any data structure and any cognitive unit. Knowledge discovered from such an information is uncertain in that it can only be asserted with a tolerance. The methods developed in the book are capable of exposing the limits of that tolerance and of making reliable inferences in the environments where complete information is not available. The framework presented in the book is general and unrestrictive, and yet at the same time captures the relevant features of a great variety of the user's data |
| Beschreibung: | 1 Online-Ressource (XII, 613 p) |
| ISBN: | 9783790818888 |
| DOI: | 10.1007/978-3-7908-1888-8 |
Internformat
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| 520 | |a The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two particular aspects of incompleteness, namely indiscernibility and similarity. Those manifestations of particular aspects of incompleteness are inherent in any data structure and any cognitive unit. Knowledge discovered from such an information is uncertain in that it can only be asserted with a tolerance. The methods developed in the book are capable of exposing the limits of that tolerance and of making reliable inferences in the environments where complete information is not available. The framework presented in the book is general and unrestrictive, and yet at the same time captures the relevant features of a great variety of the user's data | ||
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Datensatz im Suchindex
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| author2 | Orłowska, Ewa |
| author2_role | edt |
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| author_facet | Orłowska, Ewa |
| building | Verbundindex |
| bvnumber | BV045185187 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)978-3-7908-1888-8 (OCoLC)1053826429 (DE-599)BVBBV045185187 |
| dewey-full | 004.0151 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.0151 |
| dewey-search | 004.0151 |
| dewey-sort | 14.0151 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-7908-1888-8 |
| format | Electronic eBook |
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| id | DE-604.BV045185187 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
| institution | BVB |
| isbn | 9783790818888 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574365 |
| oclc_num | 1053826429 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XII, 613 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Physica-Verlag HD |
| record_format | marc |
| series2 | Studies in Fuzziness and Soft Computing |
| spelling | Incomplete Information: Rough Set Analysis edited by Ewa Orłowska Heidelberg Physica-Verlag HD 1998 1 Online-Ressource (XII, 613 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 13 The book presents rough set formalisms and methods of modeling and handling incomplete information and motivates their applicability to knowledge representation, knowledge discovery and machine learning. The book focuses on providing representational and inference mechanisms for dealing with two particular aspects of incompleteness, namely indiscernibility and similarity. Those manifestations of particular aspects of incompleteness are inherent in any data structure and any cognitive unit. Knowledge discovered from such an information is uncertain in that it can only be asserted with a tolerance. The methods developed in the book are capable of exposing the limits of that tolerance and of making reliable inferences in the environments where complete information is not available. The framework presented in the book is general and unrestrictive, and yet at the same time captures the relevant features of a great variety of the user's data Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory Computer science Operations research Decision making Computers Artificial intelligence Economic theory Orłowska, Ewa edt Erscheint auch als Druck-Ausgabe 9783790824575 https://doi.org/10.1007/978-3-7908-1888-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Incomplete Information: Rough Set Analysis Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory Computer science Operations research Decision making Computers Artificial intelligence Economic theory |
| title | Incomplete Information: Rough Set Analysis |
| title_auth | Incomplete Information: Rough Set Analysis |
| title_exact_search | Incomplete Information: Rough Set Analysis |
| title_full | Incomplete Information: Rough Set Analysis edited by Ewa Orłowska |
| title_fullStr | Incomplete Information: Rough Set Analysis edited by Ewa Orłowska |
| title_full_unstemmed | Incomplete Information: Rough Set Analysis edited by Ewa Orłowska |
| title_short | Incomplete Information: Rough Set Analysis |
| title_sort | incomplete information rough set analysis |
| topic | Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory Computer science Operations research Decision making Computers Artificial intelligence Economic theory |
| topic_facet | Computer Science Theory of Computation Artificial Intelligence (incl. Robotics) Economic Theory/Quantitative Economics/Mathematical Methods Operation Research/Decision Theory Computer science Operations research Decision making Computers Artificial intelligence Economic theory |
| url | https://doi.org/10.1007/978-3-7908-1888-8 |
| work_keys_str_mv | AT orłowskaewa incompleteinformationroughsetanalysis |