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2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)最新文献

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Technology Selection for Logistics and Supply Chain Management by the Extended Intuitionistic Fuzzy TOPSIS 基于扩展直觉模糊TOPSIS的物流供应链管理技术选择
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00036
G. Büyüközkan, Fethullah Göçer
{"title":"Technology Selection for Logistics and Supply Chain Management by the Extended Intuitionistic Fuzzy TOPSIS","authors":"G. Büyüközkan, Fethullah Göçer","doi":"10.1109/ICDSBA48748.2019.00036","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00036","url":null,"abstract":"Logistics and Supply Chains Management have yet to leverage the power of digitalization the way the other industries do. Satisfying the needs of nowadays’ ever-more-demanding consumers requires a more responsive, active, and visible logistics and supply chain that performs a quick exchange of data by novel technologies, e.g., cloud computing, big data, and internet of things. Digital transformation in logistics and supply chains is a novel phenomenon to define consumer-centric thinking to capture and maximize the utilization of real-time data in order to have optimized performance. Utilization of digital technology enablers (e.g., Big data (BD), Internet of Things (IoT), Cloud Computing (CC), etc.) can assist in generating better planning strategies by gathering, verifying, and analyzing real-time data for real-world problems. As opposed to the linear supply chains, digitalization can now take advantage of technologies to make sense of complex information in a connected world with shared pools of configurable system resources. Digital technology enablers can now collect, analyze, and convert such data into understandable reports that can provide logistics and supply chains with valuable insights, which in turn reduce costs and drives profits. In this study, the best advanced analytical software for logistics and supply chain management in the current market are explored. Their features and functionalities are discussed in detail, and the best candidate is selected by an MCDM approach based on The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) under Intuitionistic fuzzy (IF) environment. That is, a technology selection system is considered where the assessment of software is performed in a Group Decision Making (GDM) setting. A practical study is presented to demonstrate the potential of the methodology and validate the outcome.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Business Intelligence System Selection with Hesitant Fuzzy Linguistic MCDM Methods 基于犹豫模糊语言MCDM方法的商业智能系统选择
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00038
G. Büyüközkan, Esin Mukul, Merve Güler
{"title":"Business Intelligence System Selection with Hesitant Fuzzy Linguistic MCDM Methods","authors":"G. Büyüközkan, Esin Mukul, Merve Güler","doi":"10.1109/ICDSBA48748.2019.00038","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00038","url":null,"abstract":"Increasing amount of data and the need for analysis of this data have made the concept of Business Intelligence System (BIS) more important to plan the future of businesses. BIS is a set of technologies, processes, methodologies, and architectures that enable the processing of large amounts of data and their transformation into high-quality information. Companies implement BIS for monitoring business processes, receiving reports on systems operation, distributing the right information in the right way at the right time and analyzing business indicators. BIS has a mixed structure with many different and conflicting criteria. Nevertheless, it is difficult to assess and decide on alternatives if information is not clear. In this study, the hesitant fuzzy linguistic term set (HFLTS) methodology overcomes the uncertainty related difficulties of this multi-criteria decision-making (MCDM) problem. This methodology facilitates decision-making processes of experts in hesitate situations. The integrated hesitant fuzzy linguistic (HFL) MCDM methodology is presented to determine the most appropriate BIS. HFL Analytic Hierarchy Process (AHP) method is implemented to find the criteria weights. Then, the most important BIS alternative is determined with HFL Complex Proportional Assessment (COPRAS) method. Lastly, an application is given to demonstrate the potential of this methodology.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122334874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Improved State Equations Extraction Method for Linear Circuits 一种改进的线性电路状态方程提取方法
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00064
Guan Tong, Jian Liang, Jiafeng Ding, Xinmei Li, Congwei Yu
{"title":"An Improved State Equations Extraction Method for Linear Circuits","authors":"Guan Tong, Jian Liang, Jiafeng Ding, Xinmei Li, Congwei Yu","doi":"10.1109/ICDSBA48748.2019.00064","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00064","url":null,"abstract":"State variable method is a powerful tool for analyzing dynamic circuits, and the key to its application lies in the extraction of state equations. In this paper, an improved modified nodal approach (MNA) has been proposed to extract the state equations. Based on the basic principle of linear circuits, the hybrid equations which can deal with all kinds of linear elements have been established. The non-state variables in the hybrid equations are eliminated by elementary row transformation method, and the state equations with capacitance voltage and inductance current as state variables is obtained. Aiming at the problem that the order of the hybrid equations is too large, a reduced order method has been put forward, which can eliminate the voltage source current and some node voltage variables in the hybrid equations. Matrix dimension calculation and case analysis results showed that the reduced order method can reduce the amount of computations in the extraction of state equations and the new method is more efficient.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129202267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Personalized Recommendation System based on Knowledge Graph Embedding and Neural Network 基于知识图嵌入和神经网络的个性化推荐系统
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00042
Penghua Wang, Xiaoge Li, Feihong Du, Huan Liu, Shuting Zhi
{"title":"A Personalized Recommendation System based on Knowledge Graph Embedding and Neural Network","authors":"Penghua Wang, Xiaoge Li, Feihong Du, Huan Liu, Shuting Zhi","doi":"10.1109/ICDSBA48748.2019.00042","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00042","url":null,"abstract":"The application of Neural Network to recommendation task has gradually drawn attention over the last few years, and a recommendation algorithm combining neural network with collaborative filtering has emerged. Meanwhile, knowledge Graph and Graph Embedding have also developed considerably. In this paper, a new algorithm level solution is presented to realize personalized recommendation that is based on Knowledge Graph Embedding and Neural Network. Knowledge Graph Embedding is used to embed each entity into a low-dimensional vector. The learned vectors are as the input of the neural network to predict the score of an item. Through a series of systematic tests involving the MovieLens-1M dataset, we demonstrate that it can effectively improve the accuracy of rating prediction comparing with the original neural collaborative filtering algorithm.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121625900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Method Study on Solving Sudoku Problem 解数独问题的方法研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00063
Xinshe Qi, Guo Li, Na Wang, Xin Wang, Liang Wen
{"title":"Method Study on Solving Sudoku Problem","authors":"Xinshe Qi, Guo Li, Na Wang, Xin Wang, Liang Wen","doi":"10.1109/icdsba48748.2019.00063","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00063","url":null,"abstract":"In this paper, a mathematical model of Sudoku problem is described by objective function and constraint functions, and then, we give an advanced method named X-Wing, which can effectively cut down the total number of candidates in solving the Sudoku problem.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124443383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on The Price-Volume Relationship of CSI 300 Stock Index Futures 沪深300股指期货价量关系研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00047
Xueping Duan, Zhenzhen Yue
{"title":"Research on The Price-Volume Relationship of CSI 300 Stock Index Futures","authors":"Xueping Duan, Zhenzhen Yue","doi":"10.1109/ICDSBA48748.2019.00047","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00047","url":null,"abstract":"The yield and volatility of financial assets are dominant factors in risk management. In addition, the price-volume relationship of financial assets is also a hot research topic. This paper investigates the price volatility and the price-volume relationship in the stock market using financial high-frequency data. More specifically, we first divide the open interest and trading volume into the expected and unanticipated parts, and divide the price fluctuation into continuous and jumping parts. Then, we build a price-volume model to and analyze the stock index futures market on a deeper level. The results indicate that the predictable and unpredictable trading volume are consistent with the impact of price volatility, which is positive correlated with the price. On the opposite, the effect of predictable and unpredictable open interest on price volatility is different, and the expected predictable is positive correlated with the price while unanticipated parts are negatively correlated with the price.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126350657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Analysis on Evolutionary Game of Management Behavior of Food Safety Risks Based on Prospect Theory 基于前景理论的食品安全风险管理行为演化博弈分析
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00012
Duan Qi
{"title":"The Analysis on Evolutionary Game of Management Behavior of Food Safety Risks Based on Prospect Theory","authors":"Duan Qi","doi":"10.1109/icdsba48748.2019.00012","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00012","url":null,"abstract":"The strategy selection of subjects for food safety risk management is influenced by their risk preferences and cognitive differences. By analyzing the dynamic evolution process of behavior decision-making in public and private sectors in the process of food safety risk management, the prospect theory and risk perception factors are introduced to analyze the influential factors and stable conditions of strategy selection in the process of risk management, which put forward policy suggestions for promoting both public and private parties to actively adopt the choice of risk management strategy.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128037673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Improved AprioriSome Algorithm in Supermarket O2O Marketing 改进apriorissome算法在超市O2O营销中的应用
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00084
Yaxin Zhao, Shi Ning
{"title":"Application of Improved AprioriSome Algorithm in Supermarket O2O Marketing","authors":"Yaxin Zhao, Shi Ning","doi":"10.1109/ICDSBA48748.2019.00084","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00084","url":null,"abstract":"Sequential pattern mining is the key technology for analyzing data. Using Python language and its IDE tool PyCharm can effectively mine the transaction data set generated by supermarket O2O marketing. In this paper, the existing AprioriSome algorithm is improved, and the constraints such as time interval and time window are added, and it is applied to the real transaction data set of a large supermarket chain in Henan. The results show that the running time of the improved AprioriSome algorithm is reduced, and the number of frequent sequences excavated is obviously increased and more practical.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131390943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Study on the Influencing Factors of Far-mers’Willingness to Transfer Information in the Production Process of Agricultural Products 农产品生产过程中农户信息传递意愿的影响因素研究
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00107
Cun-Yuan Qian
{"title":"Study on the Influencing Factors of Far-mers’Willingness to Transfer Information in the Production Process of Agricultural Products","authors":"Cun-Yuan Qian","doi":"10.1109/ICDSBA48748.2019.00107","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00107","url":null,"abstract":"Based on the survey data of Zhejiang Province, this paper makes an empirical analysis of the factors affecting farmers’willingness to transmit identity information of agricultural products,from three aspects: production background factors, environmental factors and information content. The study found that farmers’willingness to transmit identity information of agricultural products is generally weak. The background factors such as production purpose, family income and production types, and the environmental factors such as the knowledge about traceable information and acquisition technology, participation in cooperative or-ganizations and related training, as well as infor-mation content such as fertilizer sources, preserva-tion and use, production technology, product con-dition, treatment and epidemic prevention, etc., all have influence on farmers’willingness to transmit information.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133911028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Is Business Analytics Education Sufficient in Business Schools? The Case in Turkish Business Schools 商学院的商业分析教育是否足够?土耳其商学院的案例
2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00040
T. T. Yaman, Emrah Bilgiç
{"title":"Is Business Analytics Education Sufficient in Business Schools? The Case in Turkish Business Schools","authors":"T. T. Yaman, Emrah Bilgiç","doi":"10.1109/ICDSBA48748.2019.00040","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00040","url":null,"abstract":"Undergraduate and graduate programs conducted with the names of Business Analytics, Data Analytics, Big Data Analytics and Business Intelligence have become one of the most discussed topics both in academia and in the market novadays. This current discussion is due to the increasing importance of the management and analysis of Big Data, which has emerged as a result of developments in Information Technology and science. In order to meet the needs of both academy and the companies about how to take advantage of Big Data, many universities in Europe and USA have established analytics related graduate programs. This paper investigates recent analytics related programs in Turkey and determines whether these programs can meet the needs and demands of the companies by considering the literature on analytics education and assessing a maturity score based on the offered analytics related classes.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131509837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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