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Advances in Knowledge ­Discovery and Data Mining
18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings: Part II (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
By Vincent S. Tseng (Edited by), Tu Bao Ho (Edited by), Zhi-Hua Zhou (Edited by), Arbee L. P. Chen (Edited by)

Rating
Format
Paperback, 624 pages
Published
Switzerland, 1 May 2014

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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£98.31
Ships from UK Estimated delivery date: 8th Apr - 10th Apr from UK

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Product Description

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.

Product Details
EAN
9783319066042
ISBN
3319066048
Other Information
170 black & white illustrations, biography
Dimensions
23.4 x 15.6 x 3.3 centimeters (9.71 kg)

Table of 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.

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