SPMF offers a graphical user interface (GUI), a command-line interface (CLI), and a server for alternatively running data mining algorithms through REST queries from a Python or Web client. SPMF can ...

Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters. However, there are ...

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent ...

Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence ...

Frequent pattern mining. Association mining. Correlation mining. Association rule learning. The Apriori algorithm. These are all related, yet distinct, concepts that have been used for a very long ...

When we go grocery shopping, we often have a standard list of things to buy. Each shopper has a distinctive list, depending on one’s needs and preferences. A housewife might buy healthy ingredients ...