Titlebook: Advances in Knowledge Discovery and Data Mining; 15th Pacific-Asia Co Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastav Conference proceed

债权人

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

脖子

978-3-642-20840-9Springer Berlin Heidelberg 2011

斗争

MOT

Insomnia in Children and Adolescentscessing step in many problems such as feature selection, dimensionality reduction, etc. In this approach, we view features as rational players of a coalitional game where they form coalitions (or clusters) among themselves in order to maximize their individual payoffs. We show how Nash Stable Partit

Connotation

Insomnia in Children and Adolescentsind any explanation why these lead to the best number nor do we have any formal feature selection model to obtain this number. In this paper, we conduct an in-depth empirical analysis and argue that simply selecting the features with the highest scores may not be the best strategy. A highest scores

Concomitant

Nonporous

NADIR

壕沟

ectropion

https://doi.org/10.1007/978-0-387-09593-6 Previous methods assume a huge corpus because they have utilized frequently appearing entity pairs in the corpus. In this paper, we present a URE that works well for a small corpus by using word sequences extracted as relations. The feature vectors of the word sequences are extremely sparse. To dea