55,216 research outputs found
Requirements Prioritization Based on Benefit and Cost Prediction: An Agenda for Future Research
In early phases of the software cycle, requirements
prioritization necessarily relies on the specified
requirements and on predictions of benefit and cost of
individual requirements. This paper presents results of
a systematic review of literature, which investigates
how existing methods approach the problem of
requirements prioritization based on benefit and cost.
From this review, it derives a set of under-researched
issues which warrant future efforts and sketches an
agenda for future research in this area
Evolving text classification rules with genetic programming
We describe a novel method for using genetic programming to create compact classification rules using combinations of N-grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision and recall when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from a classification task using the Reuters 21578 dataset. We also suggest that the rules may have a number of other uses beyond classification and provide a basis for text mining applications
Evolving rules for document classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitness by producing rules that are effective classifiers in terms of precision and recall when evaluated against a set of training documents. We describe a set of functions and terminals and provide results from a classification task using the Reuters 21578 dataset. We also suggest that because the induced rules are meaningful to a human analyst they may have a number of other uses beyond classification and provide a basis for text mining applications
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