Rough Sets in Knowledge Discovery 2 :  Applications, Case Studies and Software Systems / 
 Rough sets in knowledge discovery two 
Ed. : Lech Polkowski, Andrzej Skowron 
 - N.Y. :  Physica-Verlag ,  1998 
 - 601 p. 
<br/><br/>Applications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems. 
<br/><br/> 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. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Database management.<br/>Rough sets.<br/>Expert systems (Computer science)<br/>Soft computing.
<br/><br/><label>Subjects--Index Terms: </label>Công nghệ phần mềm Hệ mờ Tập gần đúng đại khái 
<br/><br/><label>Dewey Class. No.: </label>005  / ROU(2) 1998