Overview
- 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)
Included in the following conference series:
Conference proceedings info: PAKDD 2017.
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About this book
This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017.
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.
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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
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
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Advances in Knowledge Discovery and Data Mining
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Trends and Applications in Knowledge Discovery and Data Mining
Editors and Affiliations
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