2.2 数据挖掘技术的产业标准 2.2.1 CRISP-DM 方法论 1996年由 SPSS 和 NCR 等提出了一个数据挖掘跨行业标准过程,即CRISP-DM 方法论(cross-industry process for data mining)。它将数据挖掘项目生命周期分为6个阶段,详见下图,它是一个不依赖于具体算法的过程框架。 (1) 业务理解 该初始阶段集中在从商业角度...
(填空)跨行业数据挖掘标准流程CRISP-DM (cross-industry standard process for data mining)是一种业界认可的用于指导数据挖掘工作的方法,为数据库知识发现工程(Knowledge Discovery in Database, KDD)或数据挖掘项目提供了一个完整的过程描述。CRISP-DM把这个过程划分为六个阶段,分别是 、 、 、 、 和 。 相关知...
How does data mining work: Key steps of the data mining process Published in 1999, theCross Industry Standard Process for Data Mining (CRISP-DM)is a structured approach to perform data mining in six sequential phases. Many specialists still rely on this comprehensive framework to standardize indus...
The Cross-Industry Standard Process for Data Mining (CRISP-DM) is an excellent guideline for starting the data mining process. This standard was created decades ago and is still a popular paradigm for organizations that are just starting. The 6 CRISP-DM phases The CRISP-DM comprises a six-...
As CRISP-DM was intended to be industry-, tool-and application-neutral, we knew we had to get input from as wide a range as possible of practitioners and others (such as data warehouse vendors and management consultancies) with a vested interest in data mining. We did this by creating ...
Data mining, also known as Knowledge Discovery in Databases (KDD), is an automated process to extract valuable insight from large data sets that can be essential in the decision-making process. At Adreno Technologies, we leveragecross-industry standard process for data mining (CRISP-DM)to help ...
一、什么是 CRISP-DM 全名是 Cross Industry Standard Process for Data Mining,由 NCR、 SPSS…等世界著名公司根据其实务经验与理论基础所共同制定 的数据挖掘方法论。 二、CRISP-DM 目的 为 Data Miner 所共同认定的数据挖掘规格标准。针对组织面临的 问题为出发点,以实际能解决组织的问题并找出新的商机为终极目...
CRISP-DM is a reliable data mining model consisting of six phases. It is a cyclical process that provides a structured approach to the data mining process. The six phases can be implemented in any order but it would sometimes require backtracking to the previous steps and repetition of actions...
A typical data mining project undergoes several phases. These phases are described in detail in the Cross Industry Standard Process for Data Mining (CRISP-DM).
CRISP-DM stands for Cross Industry Standard Process for Data Mining and is a 1996 methodology created to shape Data Mining projects. It consists of 6 steps to conceive a Data Mining project and they can have cycle iterations according to developers’ needs. Those steps are Business Understanding...