2024年12月9日 · The CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model with six phases that describes the data science life cycle.

The Cross-industry standard process for data mining, known as CRISP-DM, [1] is an open standard process model that describes common approaches used by data mining experts. It is …

2019年12月19日 · 最常用的流程为“ 跨行业标准数据挖掘 流程 ”（Cross Industry Standard Process for Data Mining ，CRISP-DM）。 事实上，多年来， CRISP-DM一直稳居各种行业调 …

CRISP-DM (cross-industry standard process for data mining), 即为跨行业数据挖掘标准流程。 此KDD过程模型于1999年欧盟机构联合起草。 通过近几年的发展，CRISP-DM 模型在各种KDD …

CRISP-DM方法论，全称Cross-Industry Standard Process for Data Mining)，即跨行业的数据挖掘标准流。 SPSS公司1999年提炼出来的数据挖掘项目实践的标准方法论。 CRISP-DM反映了 …

CRISP-DM模型(cross-industry standard process for data mining)： 跨行业数据挖掘标准流程. 一.业务理解（business understanding） 从业务理解的角度了解 项目需求 和目标，同时将这个 …

2024年6月13日 · CRISP-DM is a robust, industry-proven process model that provides a framework for carrying out data mining projects. The model is designed to be flexible and can …

2023年9月21日 · What is CRISP-DM? CRISP-DM stands for Cross-Industry Standard Process for Data Mining. It is a cyclical process that provides a structured approach to planning, …

2023年10月30日 · CRISP-DM is a widely used framework for data mining that outlines a structured approach to planning, executing, and evaluating data mining projects. It provides a …

CRISP-DM, which stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts. As a methodology, it includes descriptions of the …