The paper provides the solution of the campion for CDMC2011, a data mining contest. The task for the data mining contest organized in conjunction with the ICONIP20II conference was to learn three predictive models (i....
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Purpose: The analysis of syndrome distribution and the association between symptom((signs))-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diag...
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ISBN:
(纸本)9781849195386
Purpose: The analysis of syndrome distribution and the association between symptom((signs))-syndrome in chronic gastritis (CG) patients can provide references for research about Traditional Chinese Medicine (TCM) diagnosis and treatment of CG. Method: This paper applies the investigation method of clinical epidemiology, adopts probability statistics method and comes up with the concept of associated density to conduct association analysis of symptom-syndrome. Result: In the distribution of syndromes patients who have a single syndrome occupy 64.7% of the whole sample;some symptoms have been selected out, of which the associated density is more than 0.6. Conclusion: Through this comparison of the values, we found the obvious one-way relationship of the symptoms (signs) and syndromes, and the results are in line with traditional Chinese medicine theory. This method effectively complements and supports traditional Chinese medicine point of view and hypothesis.
Along with the application and popularity of transportation information grid system, users become more and more, original configuration can't meet actual demand. In this paper we establish timed colored Petri net ...
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To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mo...
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At present, most of the work has focused on Web services composition from the QoS side, little work being done on investigating how to implement service selection based on transactional and QoS requirements. In compli...
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This paper aims to construct and analyze an original logical difference based on the quantitative approximation operators. According to the variable precision lower approximation operator and graded upper approximatio...
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With the rapid development of service-oriented computing (SOC) and service-oriented architecture (SOA), the number of services is rapidly increasing. How to organize and manage services effectively in repositories to ...
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Grade serves as a fundamental quantitative index, and the graded rough set model is a basic model. Thus, this paper aims to investigate an original logical difference in the graded rough set model. According to the sp...
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Booming development in brain science injects new vitality into the reform of teaching methods. Based on the perspective of brain cognition, this article addresses the optimum state for classroom learning- the relaxed ...
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Booming development in brain science injects new vitality into the reform of teaching methods. Based on the perspective of brain cognition, this article addresses the optimum state for classroom learning- the relaxed alertness. This is a good state of mind combined low threats with high challenges. Specially, the vigilance is estimated by extracting useful electroencephalogram (EEG) information in time-domain, frequency-domain and spatial distribution. It is used as an indicator to judge whether a student is in the optimum state. Focusing on how to achieve that ideal state, this article discusses some new teaching methods, including the use of Baroque music to stimulate alpha brainwave, the design of effective pattern of guiding class to arouse positive emotions of students and the conversion of teaching forms as novel stimuli to heip them improve vigilance and tide over thinking trough. The effectiveness of these methods is verified by the relevant experimental results.
Developing service discovery, information retrieval and context-aware to adapt to user everywhere/anytime and attain the ambient intelligence arise the issue of handling misclassification, imperfect reasoning and esti...
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