Advances in knowledge discovery and data mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings. Part I
- Responsibility
- Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon (eds.).
- Digital
- text file
- Publication
- Cham, Switzerland : Springer, 2017.
- Physical description
- 1 online resource (xxxii, 841 pages) : illustrations
- Series
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 10234.
- LNCS sublibrary. SL 7, Artificial intelligence.
Online
Available online
More options
Description
Creators/Contributors
- Meeting
- Pacific-Asia Conference on Knowledge Discovery and Data Mining (21st : 2017 : Cheju Island, Korea)
- Contributor
- Kim, Jinho (Writer on artificial intelligence), editor.
- Shim, Kyuseok, editor.
- Cao, Longbing, 1969- editor.
- Lee, Jae-Gil, editor.
- Lin, Xuemin, editor.
- Moon, Yang-Sae, editor.
Contents/Summary
- 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.
- (source: Nielsen Book Data)
- Publisher's 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.
(source: Nielsen Book Data)
Subjects
- Subjects
- Data mining > Congresses.
- Exploration de données (Informatique) > Congrès.
- Artificial intelligence.
- Information retrieval.
- Databases.
- Computer security.
- Data mining.
- Computers > Intelligence (AI) & Semantics.
- Computers > System Administration > Storage & Retrieval.
- Computers > Information Technology.
- Computers > Database Management > General.
- Computers > Security > General.
- Computers > Database Management > Data Mining.
Bibliographic information
- Publication date
- 2017
- Title variation
- PAKDD 2017
- Series
- Lecture notes in artificial intelligence, 0302-9743 ; 10234
- LNCS sublibrary. SL 7, Artificial intelligence
- Note
- Includes author index.
- ISBN
- 9783319574547 (electronic bk.)
- 331957454X (electronic bk.)
- 9783319575292
- 3319575295
- 9783319574554 (print)
- 3319574558
- 9783319574530 (print)
- 3319574531
- 3319575287
- 9783319575285
- DOI
- 10.1007/978-3-319-57454-7
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