Machine Learning and Data Mining in Pattern Recognition 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Perner, Petra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes in Artificial Intelligence ; 10934
• Θέματα: Artificial intelligence.; Natural language processing (Computer science).; Data mining.; Application software.; Optical data processing.; Artificial Intelligence.; Natural Language Processing (NLP).; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Image Processing and Computer Vision.
• Φυσική περιγραφή: XV, 455 p. 261 illus., 112 illus. in color. online resource.
• ISBN: 9783319961361
• DOI: 10.1007/978-3-319-96136-1

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.