Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9078)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: PAKDD 2015.
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Table of contents (59 papers)
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Front Matter
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Opinion Mining and Sentiment Analysis
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Front Matter
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Clustering
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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
Keywords
- classification
- clustering
- collaborative computing
- data streams
- factorization methods
- information retrieval
- kernel methods
- learning paradigms
- machine learning
- machine learning algorithms
- probabilistic reasoning
- recommender systems
- retrieval tasks and goals
- sentiment analysis
- social computing
- social networks
- supervised learning
- temporal data
- uncertainty
- unsupervised learning
About this book
This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015.
The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Knowledge Discovery and Data Mining
Book Subtitle: 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II
Editors: Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-18032-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-18031-1Published: 21 April 2015
eBook ISBN: 978-3-319-18032-8Published: 08 May 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIX, 773
Number of Illustrations: 237 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Information Storage and Retrieval