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- W86732093 abstract "In practice, CRISP-DM is the most commonly used data mining process in both industry and academia. CRISP-DM has one major weakness: it is at once a process model, methodology and lifecycle. Therefore it lacks definition and detail. Also, the data mining process is completely decoupled from the software engineering process, even though its results have a definite impact on this process. This methodological deficiency is one of the main reasons why many data mining projects are not completed or why, if they are, they fail to meet customer expectations and are not used. This project aims to mitigate the above problems. To do this, it sets out to: (i) define and integrate a data mining process with a software process, examining what tasks they have in common, their respective inputs and outputs and CRISP-DM’s weaknesses, (ii) develop a process instance tailored to CRISP-DM and unify this instance with the Unified Process (RUP) and (iii) validate and transfer the technology to real cases." @default.
- W86732093 created "2016-06-24" @default.
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- W86732093 date "2007-01-01" @default.
- W86732093 modified "2023-10-01" @default.
- W86732093 title "DEFINITION AND INSTANTIATION OF AN INTEGRATED DATA MINING PROCESS TIN2004-05873" @default.
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