Machine Learning and Data Mining in Pattern Recognition 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Perner, Petra (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Lecture Notes in Computer Science, 10358
• Subjects: Computer science.; Algorithms.; Database management.; Data mining.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Pattern Recognition.; Algorithm Analysis and Problem Complexity.; Information Systems Applications (incl. Internet).; Database Management.

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017. The 31 full papers presented in this book were carefully reviewed and selected from 150 submission...

Table of Contents:

• Classification
• Clustering
• Association rule
• Pattern mining
• Specific data mining methods
• Different multi-media data types
• Image mining
• Text mining
• Video mining
• Web mining. .