Rough Sets : Theoretical Aspects of Reasoning about Data

Language: English

Published by Springer, 1991

0792314727 / 9780792314721

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Seller: Buchpark, Trebbin, GermanyBuchpark

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Zustand: Gut | Sprache: Englisch | Produktart: Bücher | 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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Title
Rough Sets : Theoretical Aspects of Reasoning about Data
Author
Pawlak, Z.
Publisher
Springer
Publication year
1991
Condition
Gut
Binding
Hardcover
Language
English
ISBN 10
0792314727
ISBN 13
9780792314721
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Buchpark

Trebbin, Germany

5-star seller

AbeBooks seller since September 30, 2021

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