a novel model was proposed for short-term electricity price forecasting based on Rough set approach and improved Support Vector Machines¿SVM¿. Firstly, we can get reduced information table with no information loss by Rough set approach. And then, this reduced information is used to develop classification rules and train SVM, at the same time, we make use of the Particle Swarm Optimization to optimize the parameters. The effectiveness of our methodology was verified by experiments comparing BP neural networks with our approach.
{"title":"Short-Term Electricity Price Forecasting Based on Rough Sets and Improved SVM","authors":"Jinyu Tian, Yan Lin","doi":"10.1109/WKDD.2009.93","DOIUrl":"https://doi.org/10.1109/WKDD.2009.93","url":null,"abstract":"a novel model was proposed for short-term electricity price forecasting based on Rough set approach and improved Support Vector Machines¿SVM¿. Firstly, we can get reduced information table with no information loss by Rough set approach. And then, this reduced information is used to develop classification rules and train SVM, at the same time, we make use of the Particle Swarm Optimization to optimize the parameters. The effectiveness of our methodology was verified by experiments comparing BP neural networks with our approach.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134084155","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}
The type of the workload is one of the key factors on database management system (DBMS) tuning. Different types of workload (OLTP, Online Transaction Processing and OLAP, Online Analytical Processing) mean different resource allocation strategies. In this paper, we present an approach to automatically identify a DBMS workload as either OLTP or OLAP. We use C5.0 algorithm to construct a set of classifiers based on the characteristics that differentiate OLTP and OLAP and then use the classifier to identify the workload type. The experiments show that the classifiers can be able to accurately identify the OLTP and OLAP workloads.
{"title":"Auto-recognizing DBMS Workload Based on C5.0 Algorithm","authors":"Zhixian Niu, L. Zong, Q. Yan, Zhenxing Zhao","doi":"10.1109/WKDD.2009.185","DOIUrl":"https://doi.org/10.1109/WKDD.2009.185","url":null,"abstract":"The type of the workload is one of the key factors on database management system (DBMS) tuning. Different types of workload (OLTP, Online Transaction Processing and OLAP, Online Analytical Processing) mean different resource allocation strategies. In this paper, we present an approach to automatically identify a DBMS workload as either OLTP or OLAP. We use C5.0 algorithm to construct a set of classifiers based on the characteristics that differentiate OLTP and OLAP and then use the classifier to identify the workload type. The experiments show that the classifiers can be able to accurately identify the OLTP and OLAP workloads.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216380","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}
Shanxi Coal Transportation and Marketing Group Limited has abundant coal and infrastructure network resources, maturity the highway system of coal transportation. The construction of virtual trade platform can share resources, accelerate the circulation speed of resources, reduce business costs, and improve business efficiency. The paper applies design pattern to virtual trade platform. The system has the advantage of strong scalability and maintainability, easy to develop and support multiple types of user interface.
{"title":"Application Research of Design Patterns in Virtual Trade Platform","authors":"QingSheng Wang, Wen Gao, YueQin Zhang","doi":"10.1109/WKDD.2009.148","DOIUrl":"https://doi.org/10.1109/WKDD.2009.148","url":null,"abstract":"Shanxi Coal Transportation and Marketing Group Limited has abundant coal and infrastructure network resources, maturity the highway system of coal transportation. The construction of virtual trade platform can share resources, accelerate the circulation speed of resources, reduce business costs, and improve business efficiency. The paper applies design pattern to virtual trade platform. The system has the advantage of strong scalability and maintainability, easy to develop and support multiple types of user interface.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132921359","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}
The purpose of this research is to evaluate the foreign exchange risk exposure of listed companies on the Shanghai and Shenzhen Stock Exchange from iron and steel industry based on panel data over the period July 2005 to July 2008. The augmented Jorion Model is built to estimate the sensitivity of stock returns to exchange rate fluctuation. The findings are shown as follows: (1) Chinese iron and steel industry has significant exposure to foreign exchange risk, which is significantly exposed to USD and JPY, and is insensitive to EUR and HKD. (2) The appreciation of RMB-JPY adversely affects firm returns, while firms are benefited from the appreciation of RMB-USD. (3)The US dollar is the most dominant source of exchange risk among the major currencies, and Japanese Yen is the second one. (4) Affected by other factors except exchange rates and average stock market return, it has fixed effect.
{"title":"Evaluation of Foreign Exchange Risk Based on Financial Data Mining: Evidence from Iron and Steel Industry in China","authors":"Yaqiong Pan","doi":"10.1109/WKDD.2009.25","DOIUrl":"https://doi.org/10.1109/WKDD.2009.25","url":null,"abstract":"The purpose of this research is to evaluate the foreign exchange risk exposure of listed companies on the Shanghai and Shenzhen Stock Exchange from iron and steel industry based on panel data over the period July 2005 to July 2008. The augmented Jorion Model is built to estimate the sensitivity of stock returns to exchange rate fluctuation. The findings are shown as follows: (1) Chinese iron and steel industry has significant exposure to foreign exchange risk, which is significantly exposed to USD and JPY, and is insensitive to EUR and HKD. (2) The appreciation of RMB-JPY adversely affects firm returns, while firms are benefited from the appreciation of RMB-USD. (3)The US dollar is the most dominant source of exchange risk among the major currencies, and Japanese Yen is the second one. (4) Affected by other factors except exchange rates and average stock market return, it has fixed effect.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133063548","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}
In order to assure the quality of welding-assembly, A great deal body welding jigs are used during the all process of automobile body production. The structure of body welding jig have resemblance. It provides the technological support and achieved probability to develop the standardized design. The intelligent CAD technology based on knowledge, based on summing up design experience and field knowledge, can build a reused knowledge database and design planning model by abstracting, describing and maintaining, to offer some index method. By analyzing and describing function and structure character of the body welding jig, This paper builds knowledge base of typical body welding jig and introduces knowledge project into conventional CAD system, which will effectively support fast realization of intelligent CAD of body welding jig.
{"title":"Study on the Intelligent CAD Technology of Body Welding Jig Based on the Knowledge","authors":"Xiaoping Xiong, Quandong Jin, Pingping Jiang","doi":"10.1109/WKDD.2009.155","DOIUrl":"https://doi.org/10.1109/WKDD.2009.155","url":null,"abstract":"In order to assure the quality of welding-assembly, A great deal body welding jigs are used during the all process of automobile body production. The structure of body welding jig have resemblance. It provides the technological support and achieved probability to develop the standardized design. The intelligent CAD technology based on knowledge, based on summing up design experience and field knowledge, can build a reused knowledge database and design planning model by abstracting, describing and maintaining, to offer some index method. By analyzing and describing function and structure character of the body welding jig, This paper builds knowledge base of typical body welding jig and introduces knowledge project into conventional CAD system, which will effectively support fast realization of intelligent CAD of body welding jig.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133879902","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}
The analysis of this text was carried out on the electric power enterprise performance evaluation on basis of symbiosis theory, which had stressed on the relation of the enterprise social performance and the whole enterprise performance. It provided a type of artificial neural network trained by experts for evaluating the electric power enterprise. Finally a case was applied to qualify its validity and feasibility.
{"title":"Research on the Electric Power Enterprise Performance Evaluation Based on Symbiosis Theory","authors":"Jinyu Tian, Yan Lin","doi":"10.1109/WKDD.2009.103","DOIUrl":"https://doi.org/10.1109/WKDD.2009.103","url":null,"abstract":"The analysis of this text was carried out on the electric power enterprise performance evaluation on basis of symbiosis theory, which had stressed on the relation of the enterprise social performance and the whole enterprise performance. It provided a type of artificial neural network trained by experts for evaluating the electric power enterprise. Finally a case was applied to qualify its validity and feasibility.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":" 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113947332","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}
A novel dynamic particle swarm optimization algorithm based on chaotic mutation (DCPSO) is proposed to solve the problem of the premature and low precision of the common PSO. Combined with linear decreasing inertia weight, a kind of convergence factor is proposed based on the variance of the population’s fitness in order to adjust ability of the local search and global search; The chaotic mutation operator is introduced to enhance the performance of the local search ability and to improve the search precision of the new algorithm. The experimental results show finally that the new algorithm is not only of greater advantage of convergence precision, but also of much faster convergent speed than those of common PSO (CPSO) and linear inertia weight PSO (LPSO).
{"title":"A Novel Dynamic Particle Swarm Optimization Algorithm Based on Chaotic Mutation","authors":"Min Yang, Hui-xian Huang, Guizhi Xiao","doi":"10.1109/WKDD.2009.142","DOIUrl":"https://doi.org/10.1109/WKDD.2009.142","url":null,"abstract":"A novel dynamic particle swarm optimization algorithm based on chaotic mutation (DCPSO) is proposed to solve the problem of the premature and low precision of the common PSO. Combined with linear decreasing inertia weight, a kind of convergence factor is proposed based on the variance of the population’s fitness in order to adjust ability of the local search and global search; The chaotic mutation operator is introduced to enhance the performance of the local search ability and to improve the search precision of the new algorithm. The experimental results show finally that the new algorithm is not only of greater advantage of convergence precision, but also of much faster convergent speed than those of common PSO (CPSO) and linear inertia weight PSO (LPSO).","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122578344","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}
X. Feng, Junwei Cheng, Aimin Liu, Cai Liu, Junhui Li
To analyze the forming rules of the width dimensions reduction change of wide-thick plate head regional, the coupled heat rolling model of was created by the theory of the nonlinear finite element. Under the base of constant wide-thick plate width and different side pressing regulations, the forming rules were obtained for wide-thick plate head width reduction amount and side press amount, rounded analysis of variation of wide-thick plate head width reduction and corresponding experimental research were performed, the calculated results were very inosculated with the measured values, it indicates that the model is reality and credibility. The studied results have provided the theoretical references for controlling wide-thick plate head width reduction during rolling metal.
{"title":"Study on Head Regional of Hot Forming for Wide-Thick Plate","authors":"X. Feng, Junwei Cheng, Aimin Liu, Cai Liu, Junhui Li","doi":"10.1109/WKDD.2009.101","DOIUrl":"https://doi.org/10.1109/WKDD.2009.101","url":null,"abstract":"To analyze the forming rules of the width dimensions reduction change of wide-thick plate head regional, the coupled heat rolling model of was created by the theory of the nonlinear finite element. Under the base of constant wide-thick plate width and different side pressing regulations, the forming rules were obtained for wide-thick plate head width reduction amount and side press amount, rounded analysis of variation of wide-thick plate head width reduction and corresponding experimental research were performed, the calculated results were very inosculated with the measured values, it indicates that the model is reality and credibility. The studied results have provided the theoretical references for controlling wide-thick plate head width reduction during rolling metal.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124539526","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}
This paper demonstrates the necessity of establishing the evaluation model of accounting for safety resources based on technology of data mining systematically. The author gives the connotations and the features of the proposed new model. The main viewpoint of the paper includes that this evaluation model for safety resources is used in all units with possible accidents in production and for estimating and reflecting the effectiveness of the safety resources provided in preventing accidents, and also for the compensation of the losses caused by the accidents in production within the entire process. In accordance with the connotations of this evaluation model, the main precondition of data mining in safety and the model of Data Envelopment Analysis for safety resources based on technology of data mining are also explained. The purpose of establishing this evaluation model of accounting is to promote effective management of safety resources invested in high dangerous enterprises.
{"title":"Research on Establishment of Evaluation Model of Accounting for Safety Resources Based on Technology of Data Mining","authors":"E. Li","doi":"10.1109/WKDD.2009.59","DOIUrl":"https://doi.org/10.1109/WKDD.2009.59","url":null,"abstract":"This paper demonstrates the necessity of establishing the evaluation model of accounting for safety resources based on technology of data mining systematically. The author gives the connotations and the features of the proposed new model. The main viewpoint of the paper includes that this evaluation model for safety resources is used in all units with possible accidents in production and for estimating and reflecting the effectiveness of the safety resources provided in preventing accidents, and also for the compensation of the losses caused by the accidents in production within the entire process. In accordance with the connotations of this evaluation model, the main precondition of data mining in safety and the model of Data Envelopment Analysis for safety resources based on technology of data mining are also explained. The purpose of establishing this evaluation model of accounting is to promote effective management of safety resources invested in high dangerous enterprises.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919088","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}
To make decision for power industry development, it is important to known changes of power demand cycle. Firstly ARMA model and its modeling process of time series were introduced, then according to autocorrelation and partial-autocorrelation coefficients of power demand growth rate from year 1980 to year 2005,AR (2) model was chosen to fit the time series of power demand in China. The maximum likelihood method was used to estimate the value of model parameter, the model and parameters were tested by significance test, and the fitting accuracy was analyzed by errors between actual and forecasting value. At last the growth rate of power demand and year 2006-2020 power demand cycle turning points in China were forecasted. The error average of the growth rate of power demand in China between actual and forecasting value is 0.1417, and the mean absolute error of the forecasting is 1.6253, the mean absolute error rate is 23.5%, year 2008 and year 2012 are power demand cycle turning points. The results show that it is a better method using ARMA model to forecast power demand cycle turning points, fitting model is remarkable, the method is reliable, the forecasting precision is high.
{"title":"The Forecast of Power Demand Cycle Turning Points Based on ARMA","authors":"Shuxia Yang","doi":"10.1109/WKDD.2009.140","DOIUrl":"https://doi.org/10.1109/WKDD.2009.140","url":null,"abstract":"To make decision for power industry development, it is important to known changes of power demand cycle. Firstly ARMA model and its modeling process of time series were introduced, then according to autocorrelation and partial-autocorrelation coefficients of power demand growth rate from year 1980 to year 2005,AR (2) model was chosen to fit the time series of power demand in China. The maximum likelihood method was used to estimate the value of model parameter, the model and parameters were tested by significance test, and the fitting accuracy was analyzed by errors between actual and forecasting value. At last the growth rate of power demand and year 2006-2020 power demand cycle turning points in China were forecasted. The error average of the growth rate of power demand in China between actual and forecasting value is 0.1417, and the mean absolute error of the forecasting is 1.6253, the mean absolute error rate is 23.5%, year 2008 and year 2012 are power demand cycle turning points. The results show that it is a better method using ARMA model to forecast power demand cycle turning points, fitting model is remarkable, the method is reliable, the forecasting precision is high.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117103797","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}
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