Produktbild
Nada (Hrsg.) Lavrac

Knowledge Discovery in Databases: PKDD 2003

7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings

Ebook (PDF Format)

The proceedings of ECML/PKDD2003 are published in two volumes: the P- ceedings of the 14th European Conference on Machine Learning (LNAI 2837) and the Proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (LNAI 2838). The two conferences were held on September 22-26, 2003 in Cavtat, a small tourist town in the vicinity of Dubrovnik, Croatia. As machine learning and knowledge discovery are two highly related ?elds, theco-locationofbothconferencesisbene?cialforbothresearchcommunities.In Cavtat, ECML and PKDD were co-located for the third time in a row, following the successful co-location of t… Mehr

CHF 140.00

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen
Versandkostenfrei

Produktdetails


Weitere Autoren: Gamberger, Dragan (Hrsg.) / Blockeel, Hendrik (Hrsg.) / Todorovski, Ljupco (Hrsg.)
  • ISBN: 978-3-540-39804-2
  • EAN: 9783540398042
  • Produktnummer: 37237027
  • Verlag: Springer Berlin Heidelberg
  • Sprache: Englisch
  • Erscheinungsjahr: 2003
  • Seitenangabe: 508 S.
  • Plattform: PDF
  • Auflage: 2003
  • Reihenbandnummer: 2838

Über den Autor


This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

22 weitere Werke von Nada (Hrsg.) Lavrac:


Bewertungen


0 von 0 Bewertungen

Geben Sie eine Bewertung ab!

Teilen Sie Ihre Erfahrungen mit dem Produkt mit anderen Kunden.