Rough Sets and Intelligent Systems Paradigms

Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings

Marzena Kryszkiewicz, Chris Cornelis, Davide Ciucci, Jesús Medina-Moreno, Hiroshi Motoda, Zbigniew Ras (Herausgeber)

Buch | Softcover

XIV, 394 Seiten

2014
Springer International Publishing (Verlag)
978-3-319-08728-3 (ISBN)

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This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

Plenary lecture and tutorial papers.- Foundations of rough set theory.- Granular computing and covering-based rough sets.- Applications of rough sets.- Induction of decision rules - theory and practice.- Knowledge discovery; spatial data analysis and spatial databases.- Information extraction from images.

Erscheint lt. Verlag	4.8.2014
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XIV, 394 p. 92 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	623 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	approximate dynamic programming methods • Artificial Intelligence • Data Mining • Decision Analysis • Feature Selection • Hybrid Systems • Neural networks • Reliability • Support Vector Machines • SVM • Virtual Reality • Visualization
ISBN-10	3-319-08728-2 / 3319087282
ISBN-13	978-3-319-08728-3 / 9783319087283
Zustand	Neuware