JH Maindonald - Statistics Consulting Unit, 1999 - blogjava.net
… gather huge amounts of data from just six universities, making prediction to Australian universities … With very large data sets we can afford to use methods, of which the simpler types of …
X Ren-Chao, Y Wei-Wu, W Guo-Liang… - Acta Automatica …, 2020 - aas.net.cn
… trend loss into recurrent neural networks (RNNs), establishing the time series prediction model based … The suggested methodis then applied to the electricity price forecasting on EPEX (…
C Cordero, R Fontaine - Wall Street Journal, 2020 - res.tigerge.cn
… check a situation in order to see how it changes over a period of time○ eg Patients who are given the new drug will be asked to monitor their progress. 使用这种新药的病人将被要求监测 …
… miningmethods with the results of the informatization construction of a … predict the publication of school papers and the academic warning of students’performance, and analyze students…
AS Hashima, AK Hamoud, WA Awadhc - 2018 - academia.edu
… ways to improve academicperformance by implementing … tested almost all datamining techniques and algorithms which … collected data to predict and categorize studentperformance. …
… in educationaldatamining domain, studentperformance … and methods exploited in studentperformanceprediction … Survey on studentacademicperformanceprediction from the …
… that tries to predictstudent knowledge and future performance, based … educationalmethods of datamining to analyze large data … with respect to the academicperformance of the data. e …
… students’ achievement and better help students learn, teachers carry out teaching and school management, the DataMining technology (Data … factors of studentachievementprediction. …