Advanced Data Mining and Applications [electronic resource] : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng.
Contributor(s): Li, Jinyan [editor.] | Li, Xue [editor.] | Wang, Shuliang [editor.] | Li, Jianxin [editor.] | Sheng, Quan Z [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 10086Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XVI, 817 p. 280 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319495866.Subject(s): Computer science | Computer communication systems | Database management | Data mining | Information storage and retrieval | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Database Management | Computer Communication NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.
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This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.
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