scholarly journals The Implementation of Data Mining to Analyze the Consumer which is divided Into Class to Support the Decision Support System (DSS) in TB. 80 Majalengka

2019 ◽  
Vol 662 ◽  
pp. 022116
Author(s):  
D. Susanti
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System

Knowledge Discovery and Data Mining Applications in the Healthcare Industry

2015 ◽  
pp. 241-262
Author(s):  
Iman Barazandeh ◽  
Mohammad Reza Gholamian
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Knowledge Discovery ◽  
Support System ◽  
Healthcare Industry ◽  
Actionable Knowledge ◽  
System View ◽  
Data Market

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.

Intelligent Decision Support System in Damage Control of Damaged Ship

2013 ◽  
Vol 694-697 ◽  
pp. 2476-2482
Author(s):  
Ang Li ◽  
Jin Yun Pu
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Damage Control ◽  
Model Management ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support ◽  
Damaged Ship

An intelligent decision support system in damage control of damaged ship combined with data mining is constructed in this paper. The human-computer interaction subsystem, the database management subsystem, the model management subsystem and the knowledge management subsystem are introduced in detail and some programming technologies of the system are displayed. The pivotal technology of the realization of this system is discussed briefly at last.

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