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Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 10235.
- Lecture Notes in Artificial Intelligence ; 10235
- Language:
- English
- Subjects (All):
- Data mining.
- Artificial intelligence.
- Information storage and retrieval.
- Application software.
- Database management.
- Computer security.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Information Storage and Retrieval.
- Information Systems Applications (incl. Internet).
- Database Management.
- Systems and Data Security.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Information Storage and Retrieval.
- Information Systems Applications (incl. Internet).
- Database Management.
- Systems and Data Security.
- Physical Description:
- 1 online resource (XXXII, 857 pages) : 252 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-57529-2
- 9783319575292
- Access Restriction:
- Restricted for use by site license.
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