Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2011
Genre:	EDV / Informatik
	Artificial Intelligence / Automated Pattern Recognition / C / computer science / Data Mining / Data Mining and Knowledge Discovery / Data Storage Representation / Data structures (Computer science) / Database Management / database programming / Databases / Expert systems / knowledge-based systems / Mathematical logic / Mathematical Logic and Formal Languages / Mathematical Logic and Foundations / Mathematical theory of computation / pattern recognition / Storage media & peripherals mehr...
ISBN:	9783642226878
EAN-Code:	9783642226878
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Lecture Notes in Artificial Intelligence #6828 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D 24 mm
Gewicht:	662 gr
Seiten:	424
Illustration:	XIV, 424 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the proceedings of the 19th International Conference on Conceptual Structures, ICCS 2011, held in Derby, UK, in July 2011. The 18 full papers and 4 short papers presented together with 12 workshop papers were carefully reviewed and selected for inclusion in the book. The volume also contains 3 invited talks. ICCS focuses on the useful representation and analysis of conceptual knowledge with research and business applications. It advances the theory and practice in connecting the user's conceptual approach to problem solving with the formal structures that computer applications need to bring their productivity to bear. Conceptual structures (CS) represent a family of approaches that builds on the successes of artificial intelligence, business intelligence, computational linguistics, conceptual modelling, information and Web technologies, user modelling, and knowledge management. Two of the workshops contained in this volume cover CS and knowledge discovery in under-traversed domains and in task specific information retrieval. The third addresses CD in learning, teaching and assessment.