Data Mining in Animal Husbandry Decision Support System

2014 ◽  
Vol 926-930 ◽  
pp. 2678-2681
Author(s):  
Ai De Jiang ◽  
Hong Yu Duan ◽  
Tai Yu Liu ◽  
Shu Yan Wu

This paper based on the actual needs of the current animal husbandry information management, with reference to the actual development of the situation and the various existing information decision support system for animal husbandry management, animal husbandry production in the existing management information systems, management information systems and other prairie feed business management information system as the basic data sources in order to achieve integrated management of farm animal husbandry information and data mining objectives by using data mining techniques to construct a set of B / S structure of decision support systems. Considering some of today's more popular data mining methods, combined with the actual situation of animal husbandry decision support system to determine the practicality of the system using a prototype development methodology and life cycle the Combination. This development based on a detailed design plan, dividing each module to determine the functional modules. Each functional module with independent design principles, gives details of systems analysis and design features of each module, developed based on data mining animal husbandry decision support system.

2009 ◽  
Author(s):  
Hepu Deng ◽  
Santoso Wibowo ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
Hideki Katagiri ◽  
...  

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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