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GPS and WIFI Positioning Technology bases on Intelligent mobile phone terminal, it collects a certain number of big data for a positioned student sample in a specific period, uses clustering algorithm to the massive data, removes some meaningless noise data, renders the result of cluster analysis based on the platform for two-dimensional geographic information system, according to the actual 2D map...
China is a country of many different ethnic groups since genetic, geographical and culture formation of a different customs and ways of thinking. In order to study the eye movement behavior when the different ethnic groups observe things, firstly, we use Tobii eye tracker to record the representation data from the different ethnic groups which are used to solve Sudoku problem. Meanwhile, the data...
The banknote recognition system based on hidden Markov models (HMM) is proposed. It is based on the empirical risk minimization (ERM) principle. Image preprocessing includes brightness equalization and tilt correction. In order to satisfy the high speed and reliability of the banknote processing system, the grid segmentation is used for features extraction. Analyze the experimental data and determine...
Discrete features play an important role in data mining. How to best discretize continuous features has always been a NP-hard problem. This paper introduces diverse taxonomies in the existing literature to classify discretization methods, as well as idea and drawbacks of some typical methods. Furthermore, a comparison of these methods is studied. It's essential to select proper methods depending on...
Firstly, the typical architecture of embedded systems with multiple CPUs is introduced. Then, a method of the message-based inter-process communication (IPC) in the distributed operating system for such multi-CPU embedded systems is presented. At last, it compares this IPC method with other IPC methods in normal distributed operating systems.
The paper built an analysis model of financial statements based on data mining methods, that is making data mining methods such as clustering, association rules and decision making tree work together to step by step go into deeper analysis of existing financial statements, during which a annual assets structure statement is worked out. The data used for research is from financial statements of electronic...
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