Abstracting Data With A Decision Support System Based on Data Warehouses for the Evaluation of Ship Form Alternatives

2006 ◽  
Vol 22 (04) ◽  
pp. 248-252
Author(s):  
Song Sang ◽  
Hua-jun Li

A new aided decision support system (DSS) based on data warehouses is discussed. It is composed of data warehouses, on-line analysis processing, and data mining, which is new in the field of DSS. The essential principle, the setting up of the model, the development environment, the main system interface, and a sketch of the theory framework of the new DSS architecture are also described. The decision support system was applied to data abstraction for evaluating ship form scenarios. Tests have shown it to be practical and dependable in complex systems, such as in the demonstration of ship forms.

Author(s):  
Iman Barazandeh ◽  
Mohammad Reza Gholamian

The healthcare industry is one of the most attractive domains to realize the actionable knowledge discovery objectives. This chapter studies recent researches on knowledge discovery and data mining applications in the healthcare industry and proposes a new classification of these applications. Studies show that knowledge discovery and data mining applications in the healthcare industry can be classified to three major classes, namely patient view, market view, and system view. Patient view includes papers that performed pure data mining on healthcare industry data. Market view includes papers that saw the patients as customers. System view includes papers that developed a decision support system. The goal of this classification is identifying research opportunities and gaps for researchers interested in this context.


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