Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm.

数据挖掘的数据预处理解决了从数据过程中发现知识的一个重要问题。直接从源中获取的数据可能存在不一致、错误，或者最重要的是，数据挖掘过程尚未考虑这些数据。此外，在最近的科学、工业和商业应用中，越来越多的数据需要更复杂的工具来分析。由于数据预处理，可以将不可能转化为可能，调整数据以满足每个数据挖掘算法的输入需求。