CASP-DM: Context Aware Standard Process for Data Mining

TL;DR

This paper introduces CASP-DM, an extension of CRISP-DM, that incorporates context awareness to improve handling of machine learning challenges and model reuse in data mining processes.

Contribution

It presents a novel context-aware process model that extends CRISP-DM with new outputs to better address machine learning and data reuse challenges.

Findings

Enhanced process model with context-awareness

Improved handling of model reuse scenarios

Mapped outputs aligning with CRISP-DM reference model

Abstract

We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and model reuse handling. This new general context-aware process model is mapped with CRISP-DM reference model proposing some new or enhanced outputs.