Advances in Knowledge Discovery and Data Mining -

Advances in Knowledge Discovery and Data Mining

21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I
Buch | Softcover
XXXII, 841 Seiten
2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-57453-0 (ISBN)
106,99 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XXXII, 841 p. 242 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1318 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Anomaly Detection • Applications • Artificial Intelligence • artificial intelligence (incl. robotics) • classification • Clustering • Computer Science • Computer Security • conference proceedings • Crowdsourcing • Database Management • Database Programming • Databases • Data Mining • data mining and knowledge discovery • Data Warehousing • decision trees • Deep learning • Dynamic Networks • Expert systems / knowledge-based systems • feature extraction • Genetic Algorithm • high performance data mining • Informatics • Information Retrieval • Information storage and retrieval • information systems applications (incl. internet) • Internet Searching • Intrusion Detection • knowledge-base • machine learning • Network Security • Recommender Systems • Research • Robotics • security • Statistical methods for data mining • systems and data security • theoretic foundations • visual data mining • Web mining
ISBN-10 3-319-57453-1 / 3319574531
ISBN-13 978-3-319-57453-0 / 9783319574530
Zustand Neuware
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