Perner Machine Learning and Data Mining in Pattern Recognition

14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I
Erscheinungsjahr 2018
ISBN: 978-3-319-96136-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 10934, 455 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018.  The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 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.

Zielgruppe

Research

Autoren/Hrsg.

Perner, Petra

Inhaltsverzeichnis

Classification.- Clustering.- Image mining.- Text mining.- Video mining.-Web mining.- Graph mining.- Process mining.