Cargando…

Classification and Clustering for Knowledge Discovery

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis met...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Halgamuge, Saman K. (Editor ), Wang, Lipo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Computational Intelligence, 4
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-32404-1
003 DE-He213
005 20220120031312.0
007 cr nn 008mamaa
008 100806s2005 gw | s |||| 0|eng d
020 |a 9783540324041  |9 978-3-540-32404-1 
024 7 |a 10.1007/b98152  |2 doi 
050 4 |a TA329-348 
050 4 |a TA345-345.5 
072 7 |a TBJ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a TBJ  |2 thema 
082 0 4 |a 620  |2 23 
245 1 0 |a Classification and Clustering for Knowledge Discovery  |h [electronic resource] /  |c edited by Saman K. Halgamuge, Lipo Wang. 
250 |a 1st ed. 2005. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2005. 
300 |a XII, 356 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 4 
520 |a Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Artificial intelligence. 
650 0 |a Image processing-Digital techniques. 
650 0 |a Computer vision. 
650 0 |a Computer-aided engineering. 
650 0 |a Mathematics. 
650 0 |a Operations research. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Operations Research and Decision Theory. 
700 1 |a Halgamuge, Saman K.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Wang, Lipo.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783540811183 
776 0 8 |i Printed edition:  |z 9783642065422 
776 0 8 |i Printed edition:  |z 9783540260738 
830 0 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 4 
856 4 0 |u https://doi.uam.elogim.com/10.1007/b98152  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)