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Advances in Knowledge Discovery and Data Mining [electronic resource] : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II / edited by Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao.

Contributor(s): Tseng, Vincent S [editor.] | Ho, Tu Bao [editor.] | Zhou, Zhi-Hua [editor.] | Chen, Arbee L.P [editor.] | Kao, Hung-Yu [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 8444Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XXX, 624 p. 170 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319066059.Subject(s): Data mining | Artificial intelligence | Information storage and retrieval systems | Data Mining and Knowledge Discovery | Artificial Intelligence | Information Storage and RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
Contents:
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 -- Unstructured data and text mining.
In: Springer Nature eBookSummary: 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.
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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 -- Unstructured data and text mining.

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.

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