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To protect sensitive information in mined data, researchers need a way to organize a variety of ongoing work. The Rampart framework categorizes protection approaches and encourages interdisciplinary solutions to the growing variety of privacy problems associated with knowledge discovery from data.
The performances of light-weight and the anti-damage are a pair of conflicting optimization goals. Basing on the damage data of explosion simulation, it studies multi-objective optimization of cantilever box girder about lightweight and anti-damage. Firstly, the method of PCA is introduced to mine the damage data of simulation experiments. Secondly -- the regression function about the damage of cantilever...
In order to study the damage on weapon equipment by explosive shock wave, simulation experiments were carried out to research explosive impact damage on stiffened cantilever box girder. Data mining method of PCA was introduced to process the damage data in simulation experiments. Basing on simulation and data mining, it discussed multi-objective optimization of stiffened cantilever box girder about...
This paper divides the complex sample data into three types: complete sample data, incomplete sample data and mixed sample data. After a lot of practice, this paper puts forward the general data mining model system based on the complex sample data and explains the meanings of the three models. Then it takes the data mining model of complete sample data for example to introduce the model's application...
A approach is suggested for designing and developing a trade surplus influence factors correlation analysis application where GMDH principle is used for generating it more easily. This approach uses self-organizing data mining importing the concept of evolution based on principle of GMDH and enables the knowledge extraction process on a highly automated level and generates optimal complex model in...
This paper uses data mining classification algorithms--C5.0 and CART algorithms to get useful information to decision-making out of customerspsila transaction behaviors. Firstly, by business understanding, data understanding and data preparing, modeling and evaluating we get the results of the two algorithms and by comparing the results ,we know that the two algorithms can both be applied in the customer...
The metadata plays an essential role in data warehouse for banks. Based on system developing experience, the paper discusses the categories and functions of metadata, and elaborates how to use metadata to manage system. At last the paper presents the architecture of a Metadata Management System based on data warehouse for banks, and illustrated and analyzed its structure. Application results show...
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