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Random Forest (RF) has been widely used in the classification of high dimensional data. However, all the features of high dimensional data are used for classification, which will increase the computation time and reduce the classification accuracy. Therefore, feature selection is critical to high dimensional data classification. In order to solve this problem, this paper presents a method of Conditional...
In order to solve the problem of feature selection and the low classification accuracy in high-dimensional data, a feature selection algorithm ReliefF-IAGA which is based on ReliefF and IAGA(improved adaptive genetic algorithm) is proposed in this paper. The algorithm obtains the feature importance score using ReliefF feature selection algorithm and eliminates the irrelevant features. Then, the optimal...
Web pages can be implemented through two common forms, e.g., static and dynamic. Static page displays information directly without being compiled on the server, thus its access speed is fast. The information in a dynamic page must be loaded priorly from the database. The loading process of dynamic page is a waste of performance for the interpreter accessing useless code, as it increases the workload...
A cross-platform mobile client remote services invocation mechanism is proposed in this paper based on remote process call (RPC) aiming to solve the difficulties of communication between different mobile clients, such as the complexity of invoking process, code duplication, and maintenance. The proposed method tackles the problem of repeated coding caused by different languages and APIs used in different...
In order to increase the classification accuracy of KNN in high dimensional data, the paper presents a new method, RFVIM-KNN, which allows to achieve feature selection and feature importance weighting of high dimensional data. We applied the method to the classification of three high dimensional data sets and also compared it with other methods. Random forests provide variable importance measures...
Food safety is closely related to people's physical and mental health. But in recent years, food safety incidents occurred frequently. Thus it is important to build a food traceability system. The development of RFID technology and the rise of the Internet of Things provide a valid method to solve the problem. Combined with the characteristics of food supply chain, this paper studies the application...
In recent years a new type of database (NOSQL) has emerged in the field of persistence. June 2009, a global gathering of NOSQL Movement triggered the fuse of “database revolution”, Non-relational database has now become an extremely popular new areas, NOSQL aims to solve the needs of high concurrent read-write, efficient mass data storage and access, database scalability and high availability. In...
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