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Rough Sets in Knowledge Discovery 2

Applications, Case Studies and Software Systems

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Rough Sets in Knowledge Discovery 2 Lech Polkowski
Libristo kod: 01738128
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, listopad 2010
The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding... Cijeli opis
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The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

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Informacije o knjizi

Puni naziv Rough Sets in Knowledge Discovery 2
Autor Lech Polkowski
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2010
Broj stranica 601
EAN 9783790824599
ISBN 3790824593
Libristo kod 01738128
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 926
Dimenzije 155 x 235 x 33

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Mathematics & Science > Mathematics > Mathematical foundations > Mathematical logic
Mathematics & Science > Mathematics > Applied mathematics > Fuzzy set theory
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Computing & Information Technology > Business applications > Enterprise software
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Computer science > Artificial intelligence
Computing & Information Technology > Databases
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