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Date : 1991-10-31

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Rough Sets Theoretical Aspects of Reasoning about Data ~ Rough Sets Theoretical Aspects of Reasoning about Data Theory and Decision Library D Zdzislaw Pawlak on FREE shipping on qualifying offers Todate 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

Rough Sets Theoretical Aspects of Reasoning about 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 laying bare dependencies or classifications but expressed by means of a poorer language pervaded by imprecision or even vagueness and assuming a level of granularity

Rough Sets Theoretical Aspects of Reasoning about Data ~ Rough set theory RST can be used as such a tool to discover data dependencies and to reduce the number of attributes contained in a data set using the data alone and no additional information Over the past 10 years RST has indeed become a topic of great interest to researchers and has been applied to many domains

Rough Sets Theoretical Aspects of Reasoning about Data ~ Note If youre looking for a free download links of Rough Sets Theoretical Aspects of Reasoning about Data Theory and Decision Library D Volume 9 Pdf epub docx and torrent then this site is not for you only do ebook promotions online and we does not distribute any free download of ebook on this site

Rough Sets Theoretical Aspects of Reasoning about Data ~ Note If youre looking for a free download links of Rough Sets Theoretical Aspects of Reasoning about Data Theory and Decision Library D Pdf epub docx and torrent then this site is not for you only do ebook promotions online and we does not distribute any free download of ebook on this site

Rough Sets Theoretical Aspects of Reasoning about 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 laying bare dependencies or classifications but expressed by means of a poorer language pervaded by imprecision or even vagueness and assuming a level of granularity

Rough Set Theory in Decision Support Systems ~ The power of the RS theory • The main goal of the rough set analysis is induction of learning approximations of concepts • Rough sets constitutes a sound basis for KDD It offers mathematical tools to discover patterns hidden in data

INTRODUCTION TO ROUGH SETS ~ rough sets rs basic concepts generalizations of rs relationships of rs with other approaches rs and approximate boolean reasoning rs granular computing approximation of complex vague concepts what next rs and interactive computations on complex granules 2 agenda

Threeway decision on two universes Request PDF ~ Rough set theory is an important technique for knowledge discovery in databases and its algebraic structure is part of the foundation of rough set theory