Trends and Applications in Knowledge Discovery and Data Mining [electronic resource] :PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers /
Contributor(s): Li, Jiuyong [editor.] | Cao, Longbing [editor.] | Wang, Can [editor.] | Tan, Kay Chen [editor.] | Liu, Bo [editor.] | Pei, Jian [editor.] | Tseng, Vincent S [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 7867Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.Description: XVIII, 556 p. 152 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642403194.Subject(s): Computer science | Health informatics | Data mining | Information storage and retrieval | Artificial intelligence | Computer Science | Data Mining and Knowledge Discovery | Artificial Intelligence (incl. Robotics) | Health Informatics | Information Storage and Retrieval | Information Systems Applications (incl. Internet)Online resources: Click here to access online
Data Mining Applications in Industry and Government.- Data Analytics for Targeted Healthcare.- Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models -- Biological Inspired Techniques for Data Mining -- Constraint Discovery and Cloud Service Discovery.
This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013. The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).