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Advanced Data Mining and Applications [electronic resource] : 14th International Conference, ADMA 2018, Nanjing, China, November 16-18, 2018, Proceedings / edited by Guojun Gan, Bohan Li, Xue Li, Shuliang Wang.

Contributor(s): Gan, Guojun [editor.] | Li, Bohan [editor.] | Li, Xue [editor.] | Wang, Shuliang [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 11323Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XIV, 532 p. 199 illus., 137 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030050900.Subject(s): Artificial intelligence | Data mining | Database management | Information storage and retrieval systems | Computer engineering | Computer networks  | Artificial Intelligence | Data Mining and Knowledge Discovery | Database Management | Information Storage and Retrieval | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Data Mining Foundations -- Big Data -- Text and Multimedia Mining -- Miscellaneous Topics.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.
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Data Mining Foundations -- Big Data -- Text and Multimedia Mining -- Miscellaneous Topics.

This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.

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