Six Steps in CRISP-DM – The Standard Data Mining Process
Read the full story why CRISP-DM has become the standard data mining process?
Bonus: Unlock the new ways of Data Mining in just 6 easy steps!
Understanding About The Business (Step 1)
The initial stage of your CRISP-DM process involves a clear understating of what you want to accomplish from your business. It is necessary to know the key factors, that may have an influence on the outcome of your project.
Understanding the data (Step 2)
In this post, you will come to know about Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. Here, we have presented the crisp dm data understanding process, after the previous post on Phase 1 on Business Understanding.
Preparation of data (Step 3)
In this post, you will come to know about the crisp dm Data Preparation Phase(Cross Industry Standard Process for Data Mining), the third stage in the data mining process. In the previous phase, we had presented Data Understanding.
Modeling (Step 4)
In this post, you will come to know about the crisp dm modelling phase (Cross Industry Standard Process for Data Mining), after the third post on Data Preparation.
Evaluation (Step 5)
Having learned about modelling in the previous post, in this post, you will get closely acquainted with CRISP-DM methodology. This is the fifth phase of data mining project, and this is all about evaluation.
Deployment – Step 6 of the CRISP-Data Mining (DM) Process
In the last post we explained about evaluation phase of CRISP-DM, now we can discuss deployment phase of the crisp dm process, in this phase, you will come to know about the tactics to deploy results of your evaluation.
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