Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10939)
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 2018.
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Table of contents (64 papers)
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Deep Learning Theory and Applications in KDD
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Front Matter
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Clustering and Unsupervised Learning
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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
This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.
The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on 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.
Keywords
- Artificial intelligence
- Classification
- Classification accuracy
- Clustering
- Computer crime
- Computer networks
- Data mining
- Data security
- Information retrieval
- Internet
- Learning algorithms
- Machine learning
- Natural language processing systems
- Neural networks
- Pattern recognition
- Semantics
- Signal processing
- Social networks
- Support Vector Machines
Editors and Affiliations
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Deakin University, Geelong, Australia
Dinh Phung
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National Chiao Tung University, Hsinchu City, Taiwan
Vincent S. Tseng
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Monash University, Clayton, Australia
Geoffrey I. Webb
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Japan Advanced Institute of Science and Technology, Nomi, Japan
Bao Ho
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University of Melbourne, Melbourne, Australia
Mohadeseh Ganji, Lida Rashidi
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Data Mining
Book Subtitle: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III
Editors: Dinh Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-93040-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-93039-8Published: 17 June 2018
eBook ISBN: 978-3-319-93040-4Published: 16 June 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVIII, 835
Number of Illustrations: 245 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Systems and Data Security, Information Systems Applications (incl. Internet), Computer Appl. in Social and Behavioral Sciences, Information Storage and Retrieval
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications