Machine Learning and Data Mining in Pattern Recognition

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

Buch | Softcover

XV, 485 Seiten

2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-96132-3 (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, 485 p. 143 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	756 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Artificial Intelligence • classification • Clustering • Data Mining • Feature Selection • Frequent Item Set Mining • graph mining • Image Mining • Image Segmentation • Internet • machine learning • Medical Data Mining • Natural Language Processing Systems • Neural networks • pattern recognition • Process Mining • Support vector • Support Vector Machines • Time Series Mining • World Wide Web
ISBN-10	3-319-96132-2 / 3319961322
ISBN-13	978-3-319-96132-3 / 9783319961323
Zustand	Neuware