Machine Learning and Data Mining in Pattern Recognition [electronic resource] : 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I / edited by Petra Perner.
Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 10934Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XV, 455 p. 261 illus., 112 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319961361.Subject(s): Artificial intelligence | Natural language processing (Computer science) | Data mining | Application software | Computer vision | Artificial Intelligence | Natural Language Processing (NLP) | Data Mining and Knowledge Discovery | Computer and Information Systems Applications | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineClassification -- Clustering -- Image mining -- Text mining -- Video mining.-Web mining -- Graph mining -- Process mining.
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.
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