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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 線上預覽
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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

作者: Vincent S Tseng
出版商: Cham : Springer, 2014.
叢書: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8444.; LNCS sublibrary., SL 7,, Artificial intelligence.
版本/格式:   電子書 : 文獻 : 會議刊物 : 英語
資料庫:WorldCat
提要:
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  再讀一些...
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詳細書目

類型/形式: Electronic books
Conference proceedings
Congresses
資料類型: 會議刊物, 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Vincent S Tseng
ISBN: 9783319066059 3319066056
OCLC系統控制編碼: 880138294
注意: International conference proceedings.
Includes author index.
描述: 1 online resource (xxx, 624 pages) : illustrations.
内容: 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.
叢書名: Lecture notes in computer science., Lecture notes in artificial intelligence ;, 8444.; LNCS sublibrary., SL 7,, Artificial intelligence.
其他題名: PAKDD 2014
責任: Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen, Hung-Yu Kao (eds.).
更多資訊:

摘要:

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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