Using automated methods to analyze the temporal behavior of manufacturing systems has proven to be essential and quite bene-cial. Popular methodologies include Queueing networks, Markov chains, simulation techniques, and discrete event systems (such as Petri nets). These methodologies are primarily stochastic. Performance evaluation mandates results which are probabilistic in nature (such as th...

This study was conducted with data mining (DM) techniques to analyze various patterns of online learning behaviors, and to make predictions on learning outcomes. Statistical models and machine learning DM techniques were conducted to analyze 17,934 server logs to investigate 98 undergraduate students’ learning behaviors in an online business course in Taiwan. The study scientifically identified...