Describe the main aims and phases of the CRISP-DM model.

Question

What will be an ideal response?

Answer 1

The major aims of CRISP-DM are to make large data mining projects run more efficiently, be cheaper, more reliable, and more manageable.
The CRISP-DM methodology is a hierarchical process model. At the top level, the process is divided into six different generic phases, ranging from business understanding to deployment of project results. The next level elaborates each of these phases as comprising of several generic tasks. At this level, the description is generic enough to cover all the DM scenarios. The third level specialises these tasks for specific situations. For instance, the generic task might be cleaning data, and specialised task could be cleaning of numeric values or categorical values. The fourth level is the process instance; that is a record of actions, decisions and result of an actual execution of DM project. The model also discusses relationships between different DM tasks. It gives idealised sequence of actions during a DM project. However, it does not attempt to give all possible routes through the tasks. The different phases of the model are shown in Table 34.3.

Table 34.3 Phases of the CRISP-DM Model.
Phase
Business understanding
Data understanding
Data preparation
Modeling
Evaluation
Deployment