scholarly journals Review for historical data analysis of USAID Office of Food for peace in-kind food assistance operations and data preparation for an Ethiopia case study

2020 ◽  
Author(s):  
Keziban Rukiye Tasci
Keyword(s):  
Data Analysis ◽  
Historical Data ◽  
Food Assistance ◽  
Data Preparation ◽  
Historical Data Analysis ◽  
Food For Peace

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

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.

Historical Data Analysis through Data Mining From an Outsourcing Perspective

2010 ◽  
Vol 1 (3) ◽  
pp. 42-65 ◽  
Author(s):  
Arjen Vleugel ◽  
Marco Spruit ◽  
Anton van Daal
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Historical Data ◽  
Data Retrieval ◽  
Process Models ◽  
Industrial Environment ◽  
Historical Data Analysis ◽  
Key Aspects ◽  
Three Phases

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.

Historical Data Analysis through Data Mining from an Outsourcing Perspective

2012 ◽  
pp. 236-260
Author(s):  
Arjen Vleugel ◽  
Marco Spruit ◽  
Anton van Daal
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Historical Data ◽  
Data Retrieval ◽  
Process Models ◽  
Industrial Environment ◽  
Historical Data Analysis ◽  
Key Aspects ◽  
Three Phases

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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