Advances in Data Mining - Theoretical Aspects and Applications Advances in Data Mining - Theoretical Aspects and Applications

Advances in Data Mining - Theoretical Aspects and Applications

7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings

    • 67,99 €
    • 67,99 €

Description de l’éditeur

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume.

GENRE
Informatique et Internet
SORTIE
2007
18 août
LANGUE
EN
Anglais
LONGUEUR
367
Pages
ÉDITIONS
Springer Berlin Heidelberg
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
12,6
Mo
Advances in Data Mining: Applications and Theoretical Aspects Advances in Data Mining: Applications and Theoretical Aspects
2010
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2009
Advances in Intelligent Data Analysis X Advances in Intelligent Data Analysis X
2011
Trends in Applied Intelligent Systems Trends in Applied Intelligent Systems
2010
Modern Approaches in Applied Intelligence Modern Approaches in Applied Intelligence
2011
Advances on Data Mining: Applications and Theoretical Aspects Advances on Data Mining: Applications and Theoretical Aspects
2011
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2018
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2018
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2018
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2017
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2016
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2015