Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11439)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PAKDD 2019.
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Table of contents (47 papers)
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Front Matter
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Classification and Supervised Learning
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Front Matter
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Text and Opinion Mining
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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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Advances in Knowledge Discovery and Data Mining
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Trends and Applications in Knowledge Discovery and Data Mining
Keywords
- anomaly detection
- artificial intelligence
- clustering algorithms
- computational linguistics
- computer crime
- data cleaning
- data mining
- data security
- image processing
- image reconstruction
- learning algorithms
- machine learning
- neural networks
- recommender systems
- semantics
- signal processing
- social networking
- supervised learning
- Support Vector Machines (SVM)
- World Wide Web
About this book
The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.
The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.Editors and Affiliations
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Data Mining
Book Subtitle: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I
Editors: Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-16148-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-16147-7Published: 23 March 2019
eBook ISBN: 978-3-030-16148-4Published: 03 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XL, 627
Number of Illustrations: 164 b/w illustrations, 146 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Image Processing and Computer Vision, Computer Appl. in Social and Behavioral Sciences, Systems and Data Security