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关于台湾清华大学叶维彰教授来校讲学的通知


应js金沙所有网址计算机与信息安全学院、广西可信App重点实验室、广西密码学与信息安全重点实验室及广西云计算与大数据协同创新中心邀请,台湾清华大学叶维彰教授将于2019年3月22日来校讲学,欢迎全校师生踊跃参加。学术报告具体安排如下:

题目:Novel Swarm Optimization for Mining Classification Rules on Thyroid Gland Data(一种基于甲状腺数据的新型分类规则数据挖掘群优化算法)

报告人:Wei-Chang Yeh(叶维彰

工作单位:台湾清华大学工业工程与工程管理系

时间:2019年3月22日15:30-17:00

地点:暂定金鸡岭校区7217

主办单位:计算机与信息安全学院

内容概况:This work uses a novel rule-based classifier design method, constructed by using improved simplified swarm optimization (SSO), to mine a thyroid gland dataset from UCI databases. An elite concept is added to the proposed method to improve solution quality, close interval encoding (CIE) is added to efficiently represent the rule structure, and the orthogonal array test (OAT) is added to powerfully prune rules to avoid over-fitting the training dataset. To evaluate the classification performance of the proposed improved SSO, computer simulations are performed on well-known thyroid gland data. Computational results compare favorably with those obtained using existing algorithms such as conventional classifiers, including Bayes classifier, k-NN, k-Means, and 2D-SOM, and soft computing based methods such as the simple SSO, immune-estimation of distribution algorithms (IEDA), and genetic algorithm (GA).

本次讲座的主要内容为一种适用于甲状腺数据的分类规则数据挖掘群优化算法,该算法利用改进的简化群优化算法构造了一种基于规则的分类器,用于从UCI数据库中挖掘甲状腺数据集。该方法引入精英概念以提高解的质量,采用闭区间编码(CIE)有效地表示规则结构,利用正交阵列测试(OAT)对规则进行强修剪,避免训练数据集过度拟合。为了评测改进的SSO算法性能,在已有的甲状腺数据中进行了仿真实验,测试结果显示,改进的SSO算法与传统分类算法(包括贝叶斯分类器、k-NNk-Means2D-SOM)、基于柔性计算的简单SSO、分布免疫估计算法(IEDA)、遗传算法(GA)等算法相比具有更为显著的优势及更为优越的性能。

报告人概况:Yeh is currently a distinguished professor of the Department of Industrial Engineering and Engineering Management at Tsing Hua University in Taiwan. He received his M.S. and Ph.D. from the Department of Industrial Engineering at the University of Texas at Arlington. The majority of his research is focused around algorithms, including exact solution methods and soft computing. He has published more than 250 research papers in highly ranked journals and conference papers. He has been invited to serve as an Associate Editor of the two top reliability related journals, namely, the IEEE Transactions on Reliability and Reliability Engineering & System Safety. He proposed a novel soft computing algorithm called the simplified swarm optimization (SSO) and demonstrated the simplicity, effectiveness, and efficiency of his SSO for solving NP-hard problems.

 

 


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