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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Evolutionary data mining ： ウィキペディア英語版 Evolutionary data mining Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining data from DNA sequences,〔Wai-Ho Au, Keith C. C. Chan, and Xin Yao. ("A Novel Evolutionary Data Mining Algorithm With Applications to Churn Prediction" ), ''IEEE'', retrieved on 2008-12-4.〕 it is not limited to biological contexts and can be used in any classification-based prediction scenario, which helps "predict the value ... of a user-specified goal attribute based on the values of other attributes."〔Freitas, Alex A. ("A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery" ), ''Pontifícia Universidade Católica do Paraná'', Retrieved on 2008-12-4.〕 For instance, a banking institution might want to predict whether a customer's credit would be "good" or "bad" based on their age, income and current savings.〔 Evolutionary algorithms for data mining work by creating a series of random rules to be checked against a training dataset.〔 The rules which most closely fit the data are selected and are mutated.〔 The process is iterated many times and eventually, a rule will arise that approaches 100% similarity with the training data.〔 This rule is then checked against a test dataset, which was previously invisible to the genetic algorithm.〔 ==Process== 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Evolutionary data mining」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.