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Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9794)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PAKDD 2016.

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Table of contents (24 papers)

  1. Data Mining in Business and Finance (WDMBF)

Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

About this book

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.

Editors and Affiliations

  • New Mexico State University , Las Cruces, USA

    Huiping Cao

  • University of Technology Sydney , Sydney, Australia

    Jinyan Li

  • Massey University , Auckland, New Zealand

    Ruili Wang

Bibliographic Information

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