Titlebook: Machine Learning and Data Mining in Pattern Recognition; 12th International C Petra Perner Conference proceedings 2016 Springer Internation

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书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)




书目名称Machine Learning and Data Mining in Pattern Recognition影响因子(影响力)学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度




书目名称Machine Learning and Data Mining in Pattern Recognition网络公开度学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次




书目名称Machine Learning and Data Mining in Pattern Recognition被引频次学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用




书目名称Machine Learning and Data Mining in Pattern Recognition年度引用学科排名




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈




书目名称Machine Learning and Data Mining in Pattern Recognition读者反馈学科排名

绝缘

祖先

https://doi.org/10.1007/978-3-319-41920-6data mining; machine learning; natural language processing; social network analysis; topic modeling; anom

Migratory

A精确的

陈腐思想

Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths,mith-Waterman) in order to automatically segment visitors according to the sequence of visited pages. Experimental results on synthetic datasets show that our approach out-performs other typically used alignment metrics, such as hybrid approaches or Dynamic Time Warping.

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Fast Detection of Block Boundaries in Block-Wise Constant Matrices,Then, we explain how to implement our method in a very efficient way. Finally, we provide some empirical evidence to support our claims and apply our approach to data coming from molecular biology which can be used for better understanding the structure of the chromatin.

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种子

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