Titlebook: Advances in Knowledge Discovery and Data Mining; 7th Pacific-Asia Con Kyu-Young Whang,Jongwoo Jeon,Jaideep Srivastava Conference proceeding

JADE

书目名称Advances in Knowledge Discovery and Data Mining影响因子(影响力)




书目名称Advances in Knowledge Discovery and Data Mining影响因子(影响力)学科排名




书目名称Advances in Knowledge Discovery and Data Mining网络公开度




书目名称Advances in Knowledge Discovery and Data Mining网络公开度学科排名




书目名称Advances in Knowledge Discovery and Data Mining被引频次




书目名称Advances in Knowledge Discovery and Data Mining被引频次学科排名




书目名称Advances in Knowledge Discovery and Data Mining年度引用




书目名称Advances in Knowledge Discovery and Data Mining年度引用学科排名




书目名称Advances in Knowledge Discovery and Data Mining读者反馈




书目名称Advances in Knowledge Discovery and Data Mining读者反馈学科排名

Cloudburst

978-3-540-04760-5Springer-Verlag Berlin Heidelberg 2003

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148644.jpg

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https://doi.org/10.1007/978-3-540-34719-4 needs of these industrial and business specific applications. However, there are still considerable challenges facing this multidisciplinary field. Drawing from some industry specific applications this talk will cover the trends and challenges facing the researchers and practitioners of this rapidl

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constitutional

昆虫

https://doi.org/10.1007/978-3-540-34719-4d another variation in this family — K-Harmonic Means (KHM). It has been demonstrated using a small number of “benchmark” datasets that KHM is more robust than K-means and EM. In this paper, we compare their performance statistically. We run K-means, K-Harmonic Means and EM on each of 3600 pairs of

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