Machine Learning and Data Mining in Pattern Recognition

14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I

Buch | Softcover

XV, 455 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-96135-4 (ISBN)

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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.

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

Erscheinungsdatum	10.07.2018
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XV, 455 p. 261 illus., 112 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	709 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	classification • Clustering • Computational Linguistics • Data Mining • Feature Selection • Frequent Item Set Mining • graph mining • Image Mining • Image Processing • Image Segmentation • machine learning • Medical Data Mining • Neural networks • pattern recognition • Process Mining • Support Vector Machines • text processing • Time Series Mining
ISBN-10	3-319-96135-7 / 3319961357
ISBN-13	978-3-319-96135-4 / 9783319961354
Zustand	Neuware