CASP-DM: Context Aware Standard Process for Data Mining
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Sep 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1.
3 papers.
- 2023Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systemscited by 3
- 2021Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Datasetcited by 0
- 2024Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniquescited by 0
- 2024Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques13 Oct 2024
- 2023Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems21 Jul 2023
- 2021Adapting CRISP-DM for Idea Mining: A Data Mining Process for Generating Ideas Using a Textual Dataset2 May 2021