Editors:
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10235)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining
Conference proceedings info: PAKDD 2017.
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Table of contents (65 papers)
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Front Matter
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Clustering and Anomaly Detection
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Front Matter
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Recommender Systems
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Front Matter
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Feature Selection
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Front Matter
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Other Volumes
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Advances in Knowledge Discovery and Data Mining
About this book
The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
Keywords
- crowdsourcing
- recommender systems
- security
- statistical methods for data mining
- Web mining
- anomaly detection
- classification
- clustering
- data mining
- decision trees
- deep learning
- dynamic networks
- feature extraction
- genetic algorithm
- high performance data mining
- intrusion detection
- knowledge-base
- machine learning
- theoretic foundations
- visual data mining
Editors and Affiliations
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Kangwon National University, Chuncheon, Korea (Republic of)
Jinho Kim, Yang-Sae Moon
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Seoul National University, Seoul, Korea (Republic of)
Kyuseok Shim
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University of Technology Sydney, Sydney, Australia
Longbing Cao
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KAIST, Daejeon, Korea (Republic of)
Jae-Gil Lee
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University of New South Wales, Sydney, Australia
Xuemin Lin
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Data Mining
Book Subtitle: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II
Editors: Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-57529-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-57528-5Published: 23 April 2017
eBook ISBN: 978-3-319-57529-2Published: 25 April 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXII, 857
Number of Illustrations: 252 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Database Management, Systems and Data Security