Advances in Data Mining. Applications and Theoretical Aspects [electronic resource] : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings / edited by Petra Perner.
Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 10357Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XI, 346 p. 123 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319627014.Subject(s): Data mining | Application software | Artificial intelligence | Electronic digital computers -- Evaluation | Compilers (Computer programs) | Computer programming | Data Mining and Knowledge Discovery | Computer and Information Systems Applications | Artificial Intelligence | System Performance and Evaluation | Compilers and Interpreters | Programming TechniquesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access onlineTheoretical aspects of data mining -- Applications of data mining -- Multimedia data, in marketing, in medicine -- Process control in industry and society.
This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017. The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.
There are no comments for this item.