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Present-day society shows keen interest in the field of medical treatment, and the diagnostic mode is now developing toward doctor–patient shared decision-making. Therefore, a patient׳s source of medical information is quite important, with that source needing to be reliable, accurate, and easily accessible. Ensuring that informational sources meet these requirements becomes a challenge with the development...
Concept maps can help students learn more meaningfully. According to test scores only, students were divided into three groups of high-score, middle-score and low-score, in the previous works, researchers then applied data mining association rule technique to analysis different student groups' assessment data to construct corresponding concept maps. However, for considering more accurate to evaluate...
Many interesting applications involve predictions based on a time-series sequence or a set of time-series sequences, which are referred to as time-series classification problems. Prior classification analysis research predominately focuses on constructing a classification model from training instances that involve non-time-series attributes. Direct application of traditional classification analysis...
In order to improve boiler efficiency and reduce NOx emissions of a coal-fired boiler, a new solution strategy of combustion optimization is proposed is this paper. The key point of combustion optimization is the optimal setpoints of fuel and air parameters. As the development of electric industry, large amounts of history data are accumulated and data mining technique is applied to find some useful...
The measurement errors in virtual reference station (VRS) technology are related to the natural circumstances and geographical conditions of different areas. The chief aim of this paper is to study influence factors of VRS errors. Contingency tables were applied to analyze the correlation of those error factors. The example presented was used for describing how chi-square test and likelihood ratio...
Online transaction becomes a main way of e-commerce at present. Information discovery and price discovery in e-commerce are realized in the platform mainly. This thesis presents an online transaction platform of interactive search after analyzing the research status of interactive search engine to solve the problem that buyers are hard to search seller information in this platform, bring the initiative...
The design of an efficient one-way hash function with good performance is a hot spot in modern cryptography researches. In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence generated by iterating CNN with Runge-Kutta algorithm, then the sequence iterates with every bit of the plaintext continually. Then...
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