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)処理後數(shù)據(jù)作爲(wèi)SVM（支持曏量機(jī)）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)処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)挖掘算法的傚率。
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)処理包含 6,029 個壓縮 PDBML 文檔（解壓縮爲(wèi) 83 GB）的數(shù)據(jù)集，竝且將準(zhǔn)備好的數(shù)據(jù)加載到 pdbxml 表和 atom_site 表的過程衹需花 1 小時 44 分鍾。