Cross-industry standard process for data mining

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Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.
Cross-industry standard process for data mining
Definition
Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.
Cross-industry standard process for data mining
Cross-industry standard process for data mining
Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.

Mentions

Responding to the needs for a more iterative approach to data mining and analytics, a consortium of five vendors developed the Cross-industry standard process for data mining (CRISP-DM) focused on a continuous iteration approach to the various data intensive steps in a data mining project. Specifically, the methodology starts with an iterative loop between business understanding and data understanding, and then a handoff to an iterative loop between data preparation and data modeling, which then gets passed to an evaluation phase, which splits its results to deployment and back to the business understanding. The whole approach is developed in a cyclic iterative loop, which leads to continuous data modeling, preparation, and evaluation.

See also

See also: