Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2003
Genre:	EDV / Informatik
	Application software / Artificial Intelligence / C / Computer and Information Systems Applications / computer science / Data structures (Computer science) / Data Structures and Information Theory / Data Warehousing / Database Management / database programming / Databases / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Information theory / Internet searching / Mathematical & statistical software / Mathematical statistics / Maths for computer scientists / Probability and Statistics in Computer Science
ISBN:	9783540047605
EAN-Code:	9783540047605
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	Lecture Notes in Artificial Intelligence #2637 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1940 gr
Seiten:	614
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The 7th Paci?c Asia Conference on Knowledge Discovery and Data Mining (PAKDD) was held from April 30 to May 2, 2003 in the Convention and Ex- bition Center (COEX), Seoul, Korea. The PAKDD conference is a major forum for academic researchers and industry practitioners in the Paci?c Asia region to share original research results and development experiences from di?erent KDD-related areas such as data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition and discovery, data visualization, and knowledge-based systems. The conference was organized by the Advanced Information Technology Research Center (AITrc) at KAIST and the Statistical Research Center for Complex Systems (SRCCS) at Seoul National University. It was sponsored by the Korean Datamining Society (KDMS), the Korea Inf- mation Science Society (KISS), the United States Air Force O?ce of Scienti?c Research, the Asian O?ce of Aerospace Research & Development, and KAIST. It was held with cooperation from ACM¿s Special Group on Knowledge Dis- very and Data Mining (SIGKDD).