(2)Target of Data Pre-process 。Data cleaning数据清理 Dealing with vacancy data,noise data,to delete the isolated point,solving the inconsistency. 空缺值，噪声数据，删除孤立点，解决不一致性 ·Data integration数据集成 Integrate multi-databases,data cube even data files. 集成多个数据库、数据立方体或文件 ·Data reduction数据归约 Obtain the compressed data sets,get the same or similar results. 得到数据集的压缩表示，但可以得到相同或相近的结果 】ATA 27 Copyright 2019 by Xiaoyu Li.Copyright © 2019 by Xiaoyu Li. 27 (2) Target of Data Pre-process  Data cleaning 数据清理 Dealing with vacancy data, noise data, to delete the isolated point, solving the inconsistency. 空缺值，噪声数据，删除孤立点，解决不一致性  Data integration 数据集成 Integrate multi-databases, data cube even data files. 集成多个数据库、数据立方体或文件  Data reduction 数据归约 Obtain the compressed data sets, get the same or similar results. 得到数据集的压缩表示，但可以得到相同或相近的结果