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Some Pathological Knowledge Discovered in Large Database of Type 2 Diabetes

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Journal of Beijing Institute of Technology 2007年第3期16卷 310-314页

作者：罗森林高娟贾洪波王恒张铁梅韩怡文 School of information Science and Technology Beijing Institute of Technology Beijing Institute of Geriatrics Ministry of Health

Taking the advantage of the nearly 14 000 items of muhi-source, multi-dimension practical dataset of type 2 diabetes, and a series of data mining experiments are designed to seek for important type 2 diabetes risk factors and their relationships with blood glucose. The valuable pathological knowledge includes, the deci- sion tree is almost identical with the list of clinical diabetic risk factors; 9 items important risk factors of type 2 diabetes were found, and the relationship between the main risk factors and the blood glucose, and the feature of critical value of the risk factors were given too in this paper. These valuable results are good to the cure and macro-control type 2 diabetes.

关键词： type 2 diabetes risk factors critical value expectation maximization(EM) algorithm c4.5 algorithm

A PREDIcTION ScHEME FOR THE PREcIPITATION OF SPR BASED ON THE DATA MINING algorithm AND cIRcULATION ANALYSIS

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Journal of Tropical Meteorology 2019年第4期25卷 519-527页

作者： LI chao SHI Da・wei cHEN Yu-tian ZHANG Hong-hua GENG Huan-tong WANG Peng Jiangsu Meteorological Observatory Nanjing 210008 China Meteorological Bureau of Lianyungang city Lianyungang 222000 China college of Geography Nanjing University of Information Science and TechnologyNanjing 210044 China college of continuing Education Nanjing University of Infbnnation Science and TechnologyNanjing 210044 China

Based on the 74 circulation indexes provided by National climate center of china(Ncc) and the 24 indexes compiled by National Oceanic and Atmospheric Administration(NOAA) of the US, the study used the c4.5 algorithm in data mining to establish a decision tree prediction model to predict whether the spring persistent rains(SPR) of 55 years(from 1961 to 2015) is more than the normal, and obtained 5 rules to determine whether the SPR is more than the normal. The accuracy rate of the test set, namely "whether the SPR is more than the normal", is 98.18%. After the evaluation of the model by conducting ten 10-fold cross validations to take the average value, the test accuracy rate gained is 84%. There are differences between the three types of years with a SPR more than the normal when it comes to intensity and distribution. In spring, they have respective anomalous 850 hPa monthly mean wind fields and water-vapor flux distribution, and 700 hPa forms the zone where the vertical speed is anomalously negative. As indicated by the results, the SPR prediction model based on the c4.5 algorithm has a high prediction accuracy rate, the model is reasonably and effectively constructed, and the decision rules take comprehensive factors into consideration. The anomalous rainfall and circulation distribution characteristics obtained based on the decision classification results provide new ideas and methods for the prediction of SPR.

关键词： spring persistent rains data mining c4.5 algorithm prediction model model analysis

Application comparison of Association Rules and c4.5 Rules in Land Evaluation

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Agricultural Science & Technology 2010年第4期11卷 144-147页

作者：李亭杨敬锋陈志民中山火炬职业技术学院广东中山528436 广东融讯信息科技有限公司广东广州510656 广东瑞图万方科技股份有限公司广东顺德528305 华南农业大学公共基础课实验教学中心广东广州510642

Association rules and c4.5 rules can overcome the shortage of the traditional land evaluation methods and improve the intelligibility and efficiency of the land evaluation *** order to compare these two kinds of classification rules in the application,two fuzzy classifiers were established by combining with fuzzy decision algorithm especially based on Second General Soil Survey of Guangdong *** results of experiments demonstrated that the fuzzy classifier based on association rules obtain a higher accuracy rate,but with more complex calculation process and more computational overhead;the fuzzy classifier based on c4.5 rules obtain a slightly lower accuracy,but with fast computation and simpler calculation.

关键词： Land evaluation Association rules c4.5 algorithm Fuzzy decision

Forecasting Model of Agro-meteorological Disaster Grade Based on Decision Tree

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Meteorological and Environmental Research 2010年第2期1卷 85-87,90页

作者：司巧梅牡丹江师范学院计算机科学与技术系黑龙江牡丹江157012

Based on the discuss of the basic concept of data mining technology and the decision tree method,combining with the data samples of wind and hailstorm disasters in some counties of Mudanjiang region,the forecasting model of agro-meteorological disaster grade was established by adopting the c4.5 classification algorithm of decision tree,which can forecast the direct economic loss degree to provide rational data mining model and obtain effective analysis results.

关键词： Data mining Agro-meteorology Decision tree c4.5 algorithm classification mining china

Research on Scholarship Evaluation System based on Decision Tree algorithm

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电脑知识与技术 2015年第3X期11卷 11-13页

作者： YIN Xiao WANG Ming-yu Hunan Agricultural University

Under the modern education system of china, the annual scholarship evaluation is a vital thing for many of the collegestudents. This paper adopts the classification algorithm of decision tree c4.5 based on the bettering of ID3 algorithm and constructa data set of the scholarship evaluation system through the analysis of the related attributes in scholarship evaluation *** also having found some factors that plays a significant role in the growing up of the college students through analysis and re-search of moral education, intellectural education and culture&PE.

关键词： data mining scholarship evaluation system decision tree algorithm c4.5 algorithm

Land Evaluation Method Based on Decision Tree Produced by c4.5 and Fuzzy Decision

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Agricultural Science & Technology 2010年第3期11卷 1-3,27页

作者：杨敬锋李亭陈志民广东瑞图万方科技股份有限公司广东顺德528305 广东融讯信息科技有限公司广东广州510656 中山火炬职业技术学院广东中山528436 华南农业大学公共基础课实验教学中心广东广州510642

[Objective]The aim was to overcome the shortage of being difficult to build land evaluation model when the impact factors had continuous value in the traditional land evaluation process,as well as to improve the intelligibility of the land evaluation knowledge.[Method] The land evaluation method combining classification rule extracted by c4.5 algorithm with fuzzy decision was proposed in this study.[Result] The result of Second General Soil Survey of Guangdong Province had demonstrated that the method was convenient to extract classification rules,and by using only 100 rules,quantity correct rate 86.67% and area correct rate 84.80% of land evaluation could be obtained.[conclusions] The use of c4.5 algorithm to obtain the rules,combined with fuzzy decision algorithm to build classifiers had got satisfactory results,which provided a practical algorithm for the land evaluation.

关键词： Land Evaluation c4.5 algorithm Fuzzy decision