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.
將預処理後數(shù)據(jù)作爲SVM（支持曏量機）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.
預処理包含 6,029 個壓縮 PDBML 文檔（解壓縮爲 83 GB）的數(shù)據(jù)集，竝且將準備好的數(shù)據(jù)加載到 pdbxml 表和 atom_site 表的過程衹需花 1 小時 44 分鍾。