Mining Frequent Patterns in Software Risk Mitigation Factors: Frequent Pattern-Tree Algorithm Tracing
نویسندگان
چکیده
Frequent-Pattern Tree (FP-Tree) algorithm plays a vital role in mining associations, patterns and other data mining related jobs. Currently a software risk mitigation intelligent decision network engine using rule based technique has been designed against software risk factors. A novel idea of finding the associations between different software risk mitigation factors using FP-Tree algorithm has been proposed in this research work. Huge volumes of software risk factors and software risk mitigation factors exist in software development industry. That’s why data mining researchers have been attracted towards it to find something to explore. Software risk mitigation frequent patterns will be helpful for the project managers and software developers to make decisions against the software risk factors.
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