{"title":"Advanced Market Trends Analysis in Electronic Auction Systems","authors":"R. Fasuga, Galina Toporkova, M. Paluch","doi":"10.1109/EMS.2011.67","DOIUrl":null,"url":null,"abstract":"This article describes the expert strategic approach for obtaining the strategic information from the auction system. It describes the method of importing data into the public system. The data are then processed into graphs and tables watching market trends and development. The information is used for modeling the portfolio of e-commerce customer. Further part of the paper discuses possibilities of creating dynamic data warehouse, preprocessing, description of evaluation options and definition of basic evaluation patterns. We also focus on number of elements affecting the sale process. The paper describes identified factors, which indicate state of market or have an impact on it. That involves momentary, long-term and external indicators. During the course of the auction, using the described methods, we extract the data for particular interest groups, auctioneers, bidders, sold commodities and global market. Closing part discusses possible extensions and evaluates current outcome of our research.","PeriodicalId":131364,"journal":{"name":"2011 UKSim 5th European Symposium on Computer Modeling and Simulation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 UKSim 5th European Symposium on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMS.2011.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This article describes the expert strategic approach for obtaining the strategic information from the auction system. It describes the method of importing data into the public system. The data are then processed into graphs and tables watching market trends and development. The information is used for modeling the portfolio of e-commerce customer. Further part of the paper discuses possibilities of creating dynamic data warehouse, preprocessing, description of evaluation options and definition of basic evaluation patterns. We also focus on number of elements affecting the sale process. The paper describes identified factors, which indicate state of market or have an impact on it. That involves momentary, long-term and external indicators. During the course of the auction, using the described methods, we extract the data for particular interest groups, auctioneers, bidders, sold commodities and global market. Closing part discusses possible extensions and evaluates current outcome of our research.