INFORMATION PROCESSING DEVICE, DATA EXTRACTION METHOD, AND DATA EXTRACTION PROGRAM
To efficiently extract data similar to sample data.SOLUTION: Statistical information 15 indicating the statistic amount of characteristics of plural pieces of sample data is calculated. By first comparison processing to be performed between each of plural pieces of target data and the statistical in...
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Zusammenfassung: | To efficiently extract data similar to sample data.SOLUTION: Statistical information 15 indicating the statistic amount of characteristics of plural pieces of sample data is calculated. By first comparison processing to be performed between each of plural pieces of target data and the statistical information 15, a first evaluation value indicating the similarity of each target data is calculated. When there are a range 17a, a range 17b indicating higher similarity than the range 17a, and a range 17c indicating higher similarity than the range 17b, two or more pieces of target data whose first evaluation value belongs to the range 17b are selected. By second comparison processing to be performed between each selected target data and each sample data, a second evaluation value indicating the similarity of each selected target data is calculated. The target data whose first evaluation value belongs to the range 17c and the target data whose similarity indicated by the second evaluation value is equal to or greater than a threshold value are extracted.SELECTED DRAWING: Figure 1
【課題】サンプルデータに類似するデータを効率的に抽出する。【解決手段】複数のサンプルデータの特徴の統計量を示す統計情報15を算出し、複数の対象データそれぞれと統計情報15との間で行う第1の対比処理により、対象データそれぞれの類似度を示す第1の評価値を算出する。第1の評価値が、範囲17aと範囲17aより高い類似度を示す範囲17bと範囲17bより高い類似度を示す範囲17cとのうち、範囲17bに属する2以上の対象データを選択する。選択した対象データそれぞれとサンプルデータそれぞれとの間で行う第2の対比処理により、選択した対象データそれぞれの類似度を示す第2の評価値を算出する。第1の評価値が範囲17cに属する対象データと、第2の評価値が示す類似度が閾値以上の対象データとを抽出する。【選択図】図1 |
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