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Trends and Applications in Knowledge Discovery and Data Mining [electronic resource] : PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers / edited by Huiping Cao, Jinyan Li, Ruili Wang.

Contributor(s): Cao, Huiping [editor.] | Li, Jinyan [editor.] | Wang, Ruili [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9794Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XIII, 282 p. 84 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319429960.Subject(s): Computer science | Health informatics | Computers | Data mining | Information storage and retrieval | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Health Informatics | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Biologically Inspired Data Mining Techniques, BDM -- Machine Learning for Sensory Data Analysis, MLSDA -- Predictive Analytics for Critical Care, PACC -- Data Mining in Business and Finance, WDMBF.
In: Springer eBooksSummary: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.
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Biologically Inspired Data Mining Techniques, BDM -- Machine Learning for Sensory Data Analysis, MLSDA -- Predictive Analytics for Critical Care, PACC -- Data Mining in Business and Finance, WDMBF.

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2016 include: Biologically Inspired Data Mining Techniques, BDM; Machine Learning for Sensory Data Analysis, MLSDA; Predictive Analytics for Critical Care, PACC; as well as Data Mining in Business and Finance, WDMBF.

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