Domain engineering is a reuse technology of large-grain size,it focuses the analysis,design and implementation within a specific domain. This paper focuses the first phase of domain engineermg,discusses a new approach...Domain engineering is a reuse technology of large-grain size,it focuses the analysis,design and implementation within a specific domain. This paper focuses the first phase of domain engineermg,discusses a new approach of domain analysis-ontology-oriented MIS domain analysis method and introduces the implementation of the prototype system which supports this method.展开更多
Data mining enables us to form forecasts and models regarding future by making use of past data. Any method which helps to discover data can be used as a data mining method. Enterprises gain important competitive adva...Data mining enables us to form forecasts and models regarding future by making use of past data. Any method which helps to discover data can be used as a data mining method. Enterprises gain important competitive advantage by data mining methods. Data mining is used in different fields. In finance field, it is a specially used in portfolio management, fraud detection, payment prediction, loan risk analysis, mortgage scoring, determining transaction manipulation, determining financial risk management, determining customer profile and foreign exchange market. It can be costly, risky and time consuming for enterprises to gain knowledge. Thus today enterprises use data mining as an innovative competitive mean. The aim of the study is to determine the importance of data mining in financial applications.展开更多
文摘Domain engineering is a reuse technology of large-grain size,it focuses the analysis,design and implementation within a specific domain. This paper focuses the first phase of domain engineermg,discusses a new approach of domain analysis-ontology-oriented MIS domain analysis method and introduces the implementation of the prototype system which supports this method.
文摘Data mining enables us to form forecasts and models regarding future by making use of past data. Any method which helps to discover data can be used as a data mining method. Enterprises gain important competitive advantage by data mining methods. Data mining is used in different fields. In finance field, it is a specially used in portfolio management, fraud detection, payment prediction, loan risk analysis, mortgage scoring, determining transaction manipulation, determining financial risk management, determining customer profile and foreign exchange market. It can be costly, risky and time consuming for enterprises to gain knowledge. Thus today enterprises use data mining as an innovative competitive mean. The aim of the study is to determine the importance of data mining in financial applications.
