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A Simple Approach for Data Mining in Delphi

Authors:

Hewen Tang ,

Institute of Crop Sciences, CAAS, Beijing, China 100081
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Yongsheng Cao

Institute of Crop Sciences, CAAS, Beijing, China 100081
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Abstract

Data mining is a technique used to uncover previously unknown and potentially useful knowledge from large datasets. It turns data into actionable information for better decision making. Delphi incorporates a collection of high-performance data-analysis components known as the Decision Cube. The Decision Cube offers an easy path to powerful data analysis in an application. This paper describes a simple approach for data mining using the Decision Cube components of Delphi. It requires only some drag-and-dropping and property-setting, with no need for manual coding. It does not require special knowledge of data mining. At the end, an example is offered.
DOI: http://doi.org/10.2481/dsj.6.S981
How to Cite: Tang, H. & Cao, Y., (2007). A Simple Approach for Data Mining in Delphi. Data Science Journal. 6, pp.S981–S985. DOI: http://doi.org/10.2481/dsj.6.S981
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Published on 31 Dec 2007.
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