| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Outline of Final Research Achievements |
In this research, a method of missing value prediction for incomplete database was proposed based on the evolutionary computation with accumulation mechanism of association rule mining. Its validity was confirmed by experiments using medical data sets and so on. Methods for rule discovery from incomplete databases were proposed and characteristics of rule measurements of the extracted rules were evaluated. In addition, a rule-based continuous value prediction method was proposed adopting an application of artificial missing values, and its effectiveness was confirmed by large real data sets.
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