Advances in Knowledge Discovery and Data Mining

20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I

James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang (Herausgeber)

Buch | Softcover

XXIV, 608 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-31752-6 (ISBN)

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This two-volume set, LNAI 9651 and 9652, constitutes thethoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advancesin Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, NewZealand, in April 2016.

The 91 full papers were carefully reviewed andselected from 307 submissions. They are organized in topical sections named:classification; machine learning; applications; novel methods and algorithms;opinion mining and sentiment analysis; clustering; feature extraction andpattern mining; graph and network data; spatiotemporal and image data; anomalydetection and clustering; novel models and algorithms; and text mining andrecommender systems.

Classification.- Machine learning.- Applications.- Novel methods and algorithms.- Opinion mining and sentiment analysis.- Clustering.- Feature extraction and pattern mining.- Graph and network data.- Spatiotemporal and image data.- Anomaly detection and clustering.- Novel models and algorithms.- Text mining and recommender systems.

Erscheinungsdatum	20.05.2016
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XXIV, 608 p. 184 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Schlagworte	agent-based data mining • Anomaly Detection • Association Rules • Bioinformatics • classification • cloud-based high performance data mining • Clustering • Computer Science • Cyber-security • Data Mining • data mining and knowledge discovery • Data pre-processing • Data Warehousing • Distributed data mining • Feature Extraction and Selection • Fraud and risk analysis • Healthcare • Human, domain, organizational and social factors in data mining • Human Factors • Integration of data warehousing, OLAP and data mining • Interactive and online mining • interactive mining • Intrusion Detection • Marketing • OLAP • Opinion Mining • Opinion Mining and Sentiment Analysis • parallel data mining • privacy preserving data mining • security • Security and intrusion detection • Social Factors • Statistical Methods • Statistical methods for data mining • ubiquitous knowledge discovery • Ubiquitous knowledge discovery and agent-based data mining • visual data mining
ISBN-10	3-319-31752-0 / 3319317520
ISBN-13	978-3-319-31752-6 / 9783319317526
Zustand	Neuware