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Data Analysis, Machine Learning and Knowledge Discovery

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Data Analysis, Machine Learning and Knowledge Discovery Myra Spiliopoulou
Koda Libristo: 02006127
Založba Springer International Publishing AG, november 2013
Data analysis, machine learning and knowledge discovery are research areas at the intersection of co... Celoten opis
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Data analysis, machine learning and knowledge discovery 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, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012.

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O knjigi

Polni naslov Data Analysis, Machine Learning and Knowledge Discovery
Avtor Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2013
Število strani 470
EAN 9783319015941
ISBN 331901594X
Koda Libristo 02006127
Založba Springer International Publishing AG
Teža 706
Mere 160 x 234 x 26

Kategorije

Economics, Finance, Business & Management > Business & Management > Sales & marketing > Market research
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Economics, Finance, Business & Management > Finance & accounting > Finance
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Biology, life sciences > Life sciences: general issues
Computing & Information Technology > Business applications > Mathematical & statistical software
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Databases > Data mining
Society & Social Sciences > Psychology
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