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

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 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

List 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.
 

Summary

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 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Product details

• Assisted by: Petr Perner (Editor), Petra Perner (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 31.07.2017
• EAN: 9783319624150
• ISBN: 978-3-31-962415-0
• No. of pages: 452
• Dimensions: 157 mm x 22 mm x 237 mm
• Weight: 714 g
• Illustrations: IX, 452 p. 129 illus.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; C, Algorithmen und Datenstrukturen, Data Mining, Algorithms, Datenbanken, Artificial Intelligence, Mustererkennung, angewandte informatik, Wissensbasierte Systeme, Expertensysteme, computer science, Information Retrieval, Database Management, Information Systems Applications (incl. Internet), pattern recognition, Computer and Information Systems Applications, database programming, Application software, Data Mining and Knowledge Discovery, Algorithms & data structures, Automated Pattern Recognition, Internet searching, Algorithm Analysis and Problem Complexity, Expert systems / knowledge-based systems, Databases, svm