Machine Learning and Data Mining in Pattern Recognition

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
1. Auflage 2016
ISBN: 978-3-319-41919-0
Verlag: Springer International Publishing

Buch, Englisch, Band 9729, 807 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 12219 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Zielgruppe

Research

Autoren/Hrsg.

Perner, Petra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Classification.- Clustering.- Association rule.- Pattern mining.- Image mining.-Text mining.- Video mining.- Web mining.