Advances in Knowledge Discovery and Data Mining

. Ed(s): Tseng, Vincent S.; Ho, Tu Bao; Zhou, Zhi-Hua, PhD; Chen, Arbee L. P.; Kao, Hung-Yu

ISBN 10: 3319066072 / ISBN 13: 9783319066073

Verlag: Springer International Publishing AG, 2014

Editor(s): Tseng, Vincent S.; Ho, Tu Bao; Zhou, Zhi-Hua, PhD; Chen, Arbee L. P.; Kao, Hung-Yu. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 652 pages, 206 black & white illustrations, biography. BIC Classification: UNF; UNH; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 33. Weight in Grams: 985. . 2014. Paperback. . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9783319066073

Inhaltsangabe:

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Von der hinteren Coverseite: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Bibliografische Details

Titel: Advances in Knowledge Discovery and Data ...
Verlag: Springer International Publishing AG
Erscheinungsdatum: 2014
Einband: Softcover
Zustand: New