preprocessing data

基本解釋

Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm , which is used for ball bearing fault detection.
將預(yù)處理后數(shù)據(jù)作為SVM（支持向量機）算法的輸入，通過SVM算法來檢測軸承故障。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
屬性約簡是數(shù)據(jù)挖掘預(yù)處理中非常重要的一步，它通過減少信息的維數(shù)提高數(shù)據(jù)挖掘算法的效率。
Preprocessing the data set of 6,029 gzipped PDBML documents (i.e., 83 GB unzipped) and loading the prepared data into the pdbxml table and atom_site table took only 1 hour and 44 minutes.
預(yù)處理包含 6,029 個壓縮 PDBML 文檔（解壓縮為 83 GB）的數(shù)據(jù)集，并且將準備好的數(shù)據(jù)加載到 pdbxml 表和 atom_site 表的過程只需花 1 小時 44 分鐘。