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Data Analysis, Machine Learning and Applications

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Data Analysis, Machine Learning and Applications Christine Preisach
Koda Libristo: 01569903
Založba Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, april 2008
Data analysis and machine learning are research areas at the intersection of computer science, artif... Celoten opis
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Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

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O knjigi

Polni naslov Data Analysis, Machine Learning and Applications
Avtor Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2008
Število strani 719
EAN 9783540782391
ISBN 3540782397
Koda Libristo 01569903
Založba Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Teža 2240
Mere 155 x 235 x 41

Kategorije

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Business applications
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