安慰 发表于 2025-3-28 16:55:31
Panel Data Analysis Via Variable Selection and Subject Clusteringble of interest. A regression on many irrelevant regressors will lead to wrong predictions. To address these two issues, we propose a novel approach, called ., which derives underlying linear models by first selecting variables highly correlated to the variable of interest and then clustering subjecAnalogy 发表于 2025-3-28 19:11:59
http://reply.papertrans.cn/27/2630/262952/262952_42.pngneutralize 发表于 2025-3-29 02:38:01
Text Mining of Business-Oriented Conversations at a Call Centerngthy and redundant. In this research, we define the model of the business-oriented conversations and propose a mining method to identify segments that make impact on the outcome of the conversation and extract useful expressions in each identified segments. In the experiment, we process the real da摆动 发表于 2025-3-29 03:38:01
A Matrix Factorization Framework for Jointly Analyzing Multiple Nonnegative Data Sourcesrieval performance exceeds the existing state-of-the-art techniques. The proposed solution provides a generic framework and can be applicable to a wider context in data mining wherever one needs to exploit mutual and individual knowledge present across multiple data sources.果仁 发表于 2025-3-29 10:50:53
http://reply.papertrans.cn/27/2630/262952/262952_45.png现任者 发表于 2025-3-29 14:04:24
Text Document Cluster Analysis Through Visualization of 3D Projectionsant to generate a display (or users may choose any three orthogonal axes). We conducted implementation studies to demonstrate the value of our system with an artificial data set and a de facto benchmark news article dataset from the United States NIST Text REtrieval Competitions (TREC).Congeal 发表于 2025-3-29 17:09:12
http://reply.papertrans.cn/27/2630/262952/262952_47.pngalcoholism 发表于 2025-3-29 22:35:33
http://reply.papertrans.cn/27/2630/262952/262952_48.png桶去微染 发表于 2025-3-30 00:40:13
https://doi.org/10.1007/978-3-642-51833-1with terms such as activation, interferon, cell and signaling. Further examination of several clusters, using gene pathway databases as well as natural language processing tools, revealed that nonnegative tensor factorization accurately identified genes and TFs in well established signaling pathways爱好 发表于 2025-3-30 07:13:26
https://doi.org/10.1007/978-3-642-51833-1ngthy and redundant. In this research, we define the model of the business-oriented conversations and propose a mining method to identify segments that make impact on the outcome of the conversation and extract useful expressions in each identified segments. In the experiment, we process the real da