Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9441)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (23 papers)
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Front Matter
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Pattern Mining and Application of Big Data
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Front Matter
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Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models
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Front Matter
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Keywords
- big data analytics
- healthcare analytics
- data mining
- knowledge discovery
- pattern mining
- bioinformatics
- biomedical data analysis
- cloud computing
- data analytics
- dynamic networks
- genetic algorithms
- image analysis
- information retrieval
- language and speech processing
- machine learning
- model evaluation
- model quality
- parallel computation
- recommender systems
- social network
About this book
This book constitutes the refereed proceedings at PAKDD Workshops 2015, held in conjunction with PAKDD, the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected from 57 submissions. The workshops affiliated with PAKDD 2015 include: Pattern Mining and Application of Big Data (BigPMA), Quality Issues, Measures of Interestingness and Evaluation of data mining models (QIMIE), Data Analytics for Evidence-based Healthcare (DAEBH), Vietnamese Language and Speech Processing (VLSP).
Editors and Affiliations
Bibliographic Information
Book Title: Trends and Applications in Knowledge Discovery and Data Mining
Book Subtitle: PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers
Editors: Xiao-Li Li, Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-25660-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-25659-7Published: 26 November 2015
eBook ISBN: 978-3-319-25660-3Published: 25 November 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 289
Number of Illustrations: 91 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Health Informatics, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Computation by Abstract Devices