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Rough Sets: Theoretical Aspects of Reasoning about Data (Theory and Decision Library D:, 9) - Hardcover
Synopsis
To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.
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- PublisherKluwer Academic Publishers
- Publication date1991
- ISBN 10 0792314727
- ISBN 13 9780792314721
- BindingHardcover
- LanguageEnglish
- Number of pages247
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Rough Sets: Theoretical Aspects of Reasoning About Data
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Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Pages cornées. Edition 1991. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Dog-eared pages. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-594-421
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Condition: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 231 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 1655698/203
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Rough Sets: Theoretical Aspects of Reasoning about Data
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Condition: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. | Seiten: 231 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 1655698/3
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Rough Sets: Theoretical Aspects of Reasoning about Data (Theory and Decision Library D:, 9)
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Kluwer Academic Publishers, 1991
ISBN 10: 0792314727
ISBN 13: 9780792314721
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Rough Sets: Theoretical Aspects of Reasoning about Data
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Gebunden. Condition: New. To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of represent. Seller Inventory # 458437252
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Buch. Condition: Neu. Neuware - To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store. Seller Inventory # 9780792314721
Quantity: 2 available