Intersect 发表于 2025-3-27 00:04:19
http://reply.papertrans.cn/47/4693/469296/469296_31.pngrods366 发表于 2025-3-27 05:06:19
http://reply.papertrans.cn/47/4693/469296/469296_32.pngAGGER 发表于 2025-3-27 06:06:52
http://reply.papertrans.cn/47/4693/469296/469296_33.pngCollar 发表于 2025-3-27 13:15:31
http://reply.papertrans.cn/47/4693/469296/469296_34.png机械 发表于 2025-3-27 16:52:53
http://reply.papertrans.cn/47/4693/469296/469296_35.pngCULP 发表于 2025-3-27 21:30:36
User Management in Information Security Engineering Environment ISEE,its users can use these tools to ensure the whole security of their target information system at anytime consistently and continuously according to ISO/IEC security standards. In order to defend attacks and prevent damage beforehand, ISEE should provide users with some way to control user behavior bliposuction 发表于 2025-3-27 23:45:34
http://reply.papertrans.cn/47/4693/469296/469296_37.pngheadway 发表于 2025-3-28 04:00:47
Identify the Online Product Comments with Suspicious Chinese Content,is is how “Electronic Word-of-mouth” (eWOM) influences or even changes the purchasing decision. The purpose of this research is to identify the worst kind of the online product reviews: rumors. Rumors could cause serious damage to company’s goodwill and the sale of the product. In this study, we devevaculate 发表于 2025-3-28 08:41:44
Automatically Explore Inter-Discipline Technology from Chinese Patent Documents,portant management activities. The foremost work of technology managers should be exploring technology trends to support technology planning. However, exploring technology trend is no longer concentrated in one disciplines, much innovative research results from integrating technologies developed in圣歌 发表于 2025-3-28 10:49:50
A LDA Feature Grouping Method for Subspace Clustering of Text Data,cuments. The LDA algorithm is applied to the text data to generate groups of features as topics. The topics are treated as group features which enable the recently published subspace clustering algorithm FG-.-means to be used to cluster high dimensional text data with two level features, the word le