scholarly journals Doc/Record Id. INL/INT-15-37431 Revision No. 0 Title/ Description HISTORICAL DATA ANALYSIS SUPPORTING THE DATA QUALITY OBJECTIVES FOR THE INL SITE ENVIRONMENTAL SOIL MONITORING PROGRAM

2021 ◽  
Author(s):  
Tom Haney ◽  
Jill Lundell
1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.


2010 ◽  
Vol 1 (3) ◽  
pp. 42-65 ◽  
Author(s):  
Arjen Vleugel ◽  
Marco Spruit ◽  
Anton van Daal

The process of historical data analysis through data mining has proven valuable for the industrial environment. There are many models available that describe the in-house process of data mining. However, many companies either do not have in-house skills or do not wish to invest in performing in-house data mining. This paper investigates the applicability of two well-established data mining process models in an outsourcing context. The authors observe that both models cannot properly accommodate several key aspects in this context; therefore, this paper proposes the Three-phases method, which consists of data retrieval, data mining and results implementation within an organization. Each element is presented as a visual method fragment, and the model is validated through expert interviews and an extensive case study at a large Dutch staffing company. Both validation techniques substantiate the authors’ claim that the Three-phases model accurately describes the data mining process from an outsourcing perspective.


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