Rough Sets: Theoretical Aspects of Reasoning about Data (Theory and Decision Library D:)

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9780792314721: Rough Sets: Theoretical Aspects of Reasoning about Data (Theory and Decision Library D:)
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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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Pawlak, Zdzislaw
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Descripción Kluwer Academic Publishers. Hardcover. Estado de conservación: New. 0792314727 New Condition. Nº de ref. de la librería NEW6.0440214

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Pawlak, Z.
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Z. PAWLAK
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Descripción Springer, 1991. Hardback. Estado de conservación: NEW. 9780792314721 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0279177

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Zdzislaw Pawlak
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Descripción Kluwer Academic Publishers, 1991. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780792314721

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Pawlak, Z.
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Descripción Kluwer Academic Publishers, 1991. HRD. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9780792314721

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Zdzislaw Pawlak
Editorial: Kluwer Academic Publishers, United States (1992)
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Descripción Kluwer Academic Publishers, United States, 1992. Hardback. Estado de conservación: New. 1991 ed.. 243 x 164 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería APC9780792314721

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8.

Zdzislaw Pawlak
Editorial: Kluwer Academic Publishers, United States (1992)
ISBN 10: 0792314727 ISBN 13: 9780792314721
Nuevos Tapa dura Cantidad: 10
Impresión bajo demanda
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The Book Depository US
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Descripción Kluwer Academic Publishers, United States, 1992. Hardback. Estado de conservación: New. 1991 ed.. 243 x 164 mm. Language: English . Brand New Book ***** Print on Demand *****. 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. Nº de ref. de la librería APC9780792314721

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Z. Pawlak
Editorial: Springer (1991)
ISBN 10: 0792314727 ISBN 13: 9780792314721
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Descripción Springer, 1991. Hardcover. Estado de conservación: New. 1991. This item is printed on demand. Nº de ref. de la librería DADAX0792314727

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Zdzislaw Pawlak
Editorial: Kluwer Academic Publishers
ISBN 10: 0792314727 ISBN 13: 9780792314721
Nuevos Tapa dura Cantidad: 20
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BuySomeBooks
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Descripción Kluwer Academic Publishers. Hardcover. Estado de conservación: New. Hardcover. 231 pages. Dimensions: 9.6in. x 6.4in. x 0.9in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Nº de ref. de la librería 9780792314721

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