Title of article
Toward data mining engineering: A software engineering approach
Author/Authors
Oscar Marb?n، نويسنده , , Javier Segovia، نويسنده , , Ernestina Menasalvas، نويسنده , , Covadonga Fern?ndez-Baiz?n، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
21
From page
87
To page
107
Abstract
The number, variety and complexity of projects involving data mining or knowledge discovery in databases activities have increased just lately at such a pace that aspects related to their development process need to be standardized for results to be integrated, reused and interchanged in the future. Data mining projects are quickly becoming engineering projects, and current standard processes, like CRISP-DM, need to be revisited to incorporate this engineering viewpoint. This is the central motivation of this paper that makes the point that experience gained about the software development process over almost 40 years could be reused and integrated to improve data mining processes. Consequently, this paper proposes to reuse ideas and concepts underlying the IEEE Std 1074 and ISO 12207 software engineering model processes to redefine and add to the CRISP-DM process and make it a data mining engineering standard.
Keywords
DATA MINING , Software Engineering , Knowledge engineering
Journal title
Information Systems
Serial Year
2009
Journal title
Information Systems
Record number
1230082
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