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Clustering algorithm based on density function and nichePSO

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Journal of Systems Engineering and Electronics 2012年第3期23卷 445-452页

作者： chonghui guo Yunhui Zang Institute of Systems Engineering Dalian University of TechnologyDalian 116024E R.China

This paper introduces niching particle swarm optimiza- tion （nichePSO） into clustering analysis and puts forward a cluster- ing algorithm which uses nichePSO to optimize density functions. Firstly, this paper improves main swarm training models and in- creases their ability of space searching. Secondly, the radius of sub-swarms is defined adaptively according to the actual clus- tering problem, which can be useful for the niches＇ forming and searching. At last, a novel method that distributes samples to the corresponding cluster is proposed. Numerical results illustrate that this algorithm based on the density function and nichePSO could cluster unbalanced density datasets into the correct clusters auto- matically and accurately.

关键词： niching particle swarm optimization (nichePSO) density-based clustering automatic clustering.

维普期刊数据库

Big Data Analytics in Healthcare: Data-Driven Methods for Typical Treatment Pattern Mining

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Journal of Systems Science and Systems Engineering 2019年第6期28卷 694-714页

作者： chonghui guo Jingfeng Chen Institute of Systems Engineering Dalian University of TechnologyDalian 116024China

A huge volume of digitized clinical data is generated and accumulated rapidly since the widespread adoption of Electronic Medical Records (EMRs).These big data in healthcare hold the promise of propelling healthcare evolving from a proficiency-based art to a data-driven science,from a reactive mode to a proactive mode,from one-size-fits-all medicine to personalized *** paper first discusses the research background-big data analytics in healthcare,the research framework of big data analytics in healthcare,analysis of medical process,and the literature summary of treatment pattern *** the challenges for data-driven typical treatment pattern mining are highlighted,including similarity measure between treatment records,typical treatment pattern extraction,evaluation and recommendation,when considering the rich temporal and heterogeneous medical information in ***,three categories of typical treatment patterns are mined from doctor order content,duration,and sequence view respectively,which can provide a data-driven guideline to achieve the "5R" goal for rational drug use and clinical pathways.

关键词： Big data analytics healthcare electronic medical records typical treatment pattern

Perturbation analysis for the normalized Laplacian matrices in the multiway spectral clustering method

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Science China(Information Sciences) 2014年第11期57卷 30-46页

作者： BORJIGIN SuMuYa guo chonghui School of Economics and Management Inner Mongolia University Institute of Systems Engineering Dalian University of Technology

In this paper, we present a perturbation analysis for the matrices in the multiway normalized cut spectral clustering method based on the matrix perturbation theory. The analytical results show that the eigenvalues and the eigenspaces of the normalized Laplacian matrices are continuous. Therefore, clustering algorithms can be designed according to the special properties of the normalized Laplacian matrices in the ideal case and the method can be extended to the general case based on the continuity of the eigenvalues and the eigenspaces of the normalized Laplacian matrices. The numerical results are consistent with the theoretical results.

关键词： spectral clustering method normalized Laplacian matrices eigenvalue eigenspace matrix per-turbation theory

PRODUCTS RANKING THROUGH ASPECT-BASED SENTIMENT ANALYSIS OF ONLINE HETEROGENEOUS REVIEWS

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Journal of Systems Science and Systems Engineering 2018年第5期27卷 542-558页

作者： chonghui guo Zhonglian Du Xinyue Kou Institute of Systems Engineering Dalian University of Technology Dalian 116024 China

With the rapid growth of online shopping platforms, more and more customers intend to share theirshopping experience and product reviews on the Internet. Both large quantity and various forms ofonline reviews bring difficulties for potential consumers to summary all the heterogenous reviews forreference. This paper proposes a new ranking method through online reviews based on differentaspects of the alternative products, which combines both objective and subjective sentiment ***, weights of these aspects are determined with LDA topic model to calculate the objectivesentiment value of the product. During this process, the realistic meaning of each aspect is alsosummarized. Then, consumers＇ personalized preferences are taken into consideration while calculatingtotal scores of alternative products. Meanwhile, comparative superiority between every two productsalso contributes to their final scores. Therefore, a directed graph model is constructed and the finalscore of each product is computed by improved PageRank algorithm. Finally, a case study is given toillustrate the feasibility and effectiveness of the proposed method. The result demonstrates that whileconsidering only objective sentiment values of the product, the ranking result obtained by our proposedmethod has a strong correlation with the actual sales orders. On the other hand, if consumers expresssubjective preferences towards a certain aspect, the final ranking is also consistent with the actualperformance of alternative products. It provides a new research idea for online customer review miningand personalized recommendation.

关键词： Online review mining LDA topic model improved PageRank algorithm personalized recommendation

Adaptive spectral affinity propagation clustering

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Journal of Systems Engineering and Electronics 2022年第3期33卷 647-664页

作者： TANG Lin SUN Leilei guo chonghui ZHANG Zhen Institute of Systems Engineering Dalian University of TechnologyDalian 116024China School of Computer Science and Engineering Beihang UniversityBeijing 100191China

Affinity propagation(AP)is a classic clustering *** improve the classical AP algorithms,we propose a clustering algorithm namely,adaptive spectral affinity propagation(AdaSAP).In particular,we discuss why AP is not suitable for non-spherical clusters and present a unifying view of nine famous arbitrary-shaped clustering *** propose a strategy of extending AP in non-spherical clustering by constructing category similarity of *** the monotonicity that the clusters’number increases with the self-similarity in AP,we propose a model selection procedure that can determine the number of clusters *** the parameters introduced by extending AP in non-spherical clustering,we provide a grid-evolving strategy to optimize them *** effectiveness of AdaSAP is evaluated by experiments on both synthetic datasets and real-world clustering *** results validate that the superiority of AdaSAP over benchmark algorithms like the classical AP and spectral clustering algorithms.

关键词： affinity propagation(AP) Laplacian eigenmap(LE) arbitrary-shaped cluster model selection

维普期刊数据库

Mining Typical Treatment Duration Patterns for Rational Drug Use from Electronic Medical Records

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Journal of Systems Science and Systems Engineering 2019年第5期28卷 602-620页

作者： Jingfeng Chen chonghui guo Leilei Sun Menglin Lu Institute of Systems Engineering Dalian University of Technology Dalian 116024 China SKLSDE and BDBC Lab Beihang University Beijing 100083 China

Rational drug use requires that patients receive medications for an adequate period of *** adequate duration time of medications not only improve the therapeutic effect of medicines,but also reduce the side effects and adverse reactions of *** paper proposes a data-driven method to mine typical treatment duration patterns for rational drug use from electronic medical records (EMRs).Firstly,a quintuple is defined to describe drug use duration statistics (DUDS) for each drug and treatment record is further represented with DUDS vector (DUDSV).Next a similarity measure method is adopted to compute the similarity between treatment ***,a clustering algorithm is used to cluster all patient treatment records to extract typical treatment duration patterns including typical drug sets,effective drug use day sets,and the DUDSs of each typical *** the extracted typical treatment duration patterns are evaluated and annotated based on patients' demographic information,disease severity scores,treatment outcome and diagnostic ***,a real-world EMR dataset is performed to indicate that the approach we proposed can effectively mine typical treatment duration patterns from EMRs and recommend the appropriate treatment regimens for patients based on their admission information.

关键词： EMR data mining rational drug use typical treatment duration pattern similarity measure clustering

A Simulation Research Towards Better Leverage of Sales Ranking

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Journal of Systems Science and Systems Engineering 2021年第1期30卷 105-122页

作者： Lin Tang Leilei Sun chonghui guo Yuqian Zuo Zhen Zhang Institute of Systems Engineering Dalian University of TechnologyDalian116024China SKLSDE and BDBC Lab Beihang UniversityBeijing100090China

As a kind of the most significantly popular information in markets,the sales ranking has great impacts on consumer ***,there are few discussions on how sales ranking should be provided to consumers in the *** paper aims to answer the following two questions:1)To what extent does the sales ranking influence consumer choices;2)When the sales ranking should be provided to *** do so,this paper first constructs a sales ranking model and then provides detailed simulation experiments to demonstrate the *** experimental results show that for markets where consumer preferences are dramatically different,such as music and movie markets,sales rankings do not have significant influences on consumer choices and should not be provided to consumers until a large number of early independent consumer choices have been *** for markets in which consumer preferences are similar,such as markets for official supplies,sales rankings have more influences on consumer choices and should be provided to consumers ***,an evolution strategy is proposed to ascertain the most suitable sales rankings(characterised by suitable influence strength and suitable release time)for some specified online *** comparison results show that the optimized sales rankings not only can help consumers discover higher-quality products but also can improve overall sales.

关键词： Marketing sales ranking popularity information simulation experiments

非酒精性脂肪肝风险人群分层健康管理框架及多维代谢指标数据挖掘方法

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系统管理学报 2024年第4期33卷 959-972页

作者：吴卓青郭崇慧陈静锋郑云超丁素英大连理工大学系统工程研究所辽宁大连116024 郑州大学第一附属医院健康管理中心郑州450052

非酒精性脂肪肝病(NAFLD)是最常见的慢性肝病,近年来其患病率不断增加。目前临床上针对NAFLD风险人群健康管理策略采用“一体适用”的方法,忽视了不同危险分层患者之间的差异性,为此,提出NAFLD风险人群分层健康管理框架及多维代谢数据... 详细信息

非酒精性脂肪肝病(NAFLD)是最常见的慢性肝病,近年来其患病率不断增加。目前临床上针对NAFLD风险人群健康管理策略采用“一体适用”的方法,忽视了不同危险分层患者之间的差异性,为此,提出NAFLD风险人群分层健康管理框架及多维代谢数据挖掘方法。首先,使用动态时间扭曲算法对受检者的多维代谢指标时间序列数据进行相似性度量,并使用相似性网络融合算法对多维代谢指标时间序列相似度矩阵进行融合;其次,构建受检者多维代谢指标社交网络,通过Leiden社区发现算法进行危险分层;再次,基于各个子社区的结构化数值型数据与非结构化文本型数据进行知识发现,挖掘典型模式与TOP-N主题词及健康建议;最后,将该框架应用于真实世界数据集并开发原型系统。实验结果表明,本文提出的NAFLD风险人群分层健康管理框架及方法能够使临床医生更好地了解受检者危险层级及相应特征,从而以分层医学思想实施更精细化的健康管理。

关键词：非酒精性脂肪肝多维代谢指标分层健康管理社区发现

维普期刊数据库

Cluster Analysis in Data-Driven Management and Decisions

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Journal of Management Science and Engineering 2017年第4期2卷 227-251页

作者： Leilei Sun guoqing Chen Hui Xiong chonghui guo School of Economics and Management Tsinghua UniversityBeijing 100084China Department of Management Science and Information Systems Rutgers Business Schoolthe State University of New JerseyNewarkNJ 07102USA Institute of Systems Engineering Dalian University of TechnologyDalian 116023China

Clustering plays an important role in management and decision-making *** paper first discusses three types of cluster analysis methods-centroid-based,connectivity-based,and *** the challenges to traditional clustering in new business environments are highlighted,with algorithmic extensions and innovative efforts for coping with data that is dynamic,large-scale,representative,non-convex,and consensus in *** addition,three application cases are illustrated,where clustering is incorporated into the overall solution in the contexts of management support,business of sharing economy,and healthcare decision assistance.

关键词： Cluster analysis Clustering,Data-driven Management Decision making