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“…GUHA has been tested on a small scale to see whether the rules that are generated can be applied from one module to the next. We used LISp-Miner [11] to implement GUHA on the same historical module data that was described above. This produced hypotheses about failing students in the form of a set of association rules.…”
Section: General Unary Hypotheses Automatonmentioning
confidence: 99%
“…GUHA has been tested on a small scale to see whether the rules that are generated can be applied from one module to the next. We used LISp-Miner [11] to implement GUHA on the same historical module data that was described above. This produced hypotheses about failing students in the form of a set of association rules.…”
Section: General Unary Hypotheses Automatonmentioning
confidence: 99%