As we know that the normalization is a pre-processing stage of any type problem statement. Especially normalization takes important role in the field of soft computing, cloud computing etc. for manipulation of data like scale down or scale up the range of data before it becomes used for further stage. There are so many normalization techniques are there namely Min-Max normalization, Z-score normalization and Decimal scaling normalization. So by referring these normalization techniques we are going to propose one new normalization technique namely, Integer Scaling Normalization. And we are going to show our proposed normalization technique using various data sets.
翻译:我们知道,正常化是任何类型问题说明的预处理阶段。 特别是正常化在软计算、云计算等领域发挥着重要作用,用于操纵数据,例如,在数据被进一步使用之前,缩小或扩大数据范围。 有许多正常化技术,即Min-Max正常化、Z-分级正常化和十进制程度正常化。因此,通过提及这些正常化技术,我们将提出一种新的正常化技术,即 Integer增强正常化。我们将使用各种数据集展示我们提议的正常化技术。