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2009 Second International Workshop on Knowledge Discovery and Data Mining最新文献

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The Study of Partners' Selection for Virtual Logistics Enterprises 虚拟物流企业合作伙伴选择研究
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.102
Dashen Xue
{"title":"The Study of Partners' Selection for Virtual Logistics Enterprises","authors":"Dashen Xue","doi":"10.1109/WKDD.2009.102","DOIUrl":"https://doi.org/10.1109/WKDD.2009.102","url":null,"abstract":"With the continuous development of economic globalization and the furious competition of market, the need of logistics service is increasing continuously. At the same time, the requirement of its service level and quality is stricter. Virtual Logistics Enterprise (VLE) is becoming the realistic choice for many enterprises. VLE usually meet the partners' selection problems before it is founded. How to choose appropriate partners is an important problem within the VLE. According to some former research results and the characteristic of the logistics enterprise, authors established an evaluating guide system for VLE based on the validity of partners’ combination. The authors also established a two-phase partners' selection model: first selection based on Analytic Hierarchy Process and second selection based on Genetic Simulated Annealing Algorithms. Finally, we give the results which shows the genetic simulated annealing algorithms are better than other algorithms and more suitable to these issues.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"237 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":"124602269","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
Oil Refining Enterprise Performance Evaluation Based on DEA and SVM 基于DEA和SVM的炼油企业绩效评价
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.43
Jiekun Song, Zaixu Zhang
{"title":"Oil Refining Enterprise Performance Evaluation Based on DEA and SVM","authors":"Jiekun Song, Zaixu Zhang","doi":"10.1109/WKDD.2009.43","DOIUrl":"https://doi.org/10.1109/WKDD.2009.43","url":null,"abstract":"Enterprise performance evaluation is an important means of enterprise management, which can diagnose the whole development status of enterprise. Data envelopment analysis (DEA) is one of the most frequently used evaluation methods and support vector machine (SVM) is a novel method of data mining, which can be used for prediction and regression. Based on DEA and SVM, the paper proposes a method for evaluating and predicting enterprise performance. First, DEA method is used to evaluate DEA efficiency of all the oil refining enterprises performance. Then the input/output data and results of some decision making units (DMUs) are selected as the learning examples to train the SVM network and the others are used as the test examples to test the network. If the SVM network is testified well, a synthetic evaluation formula can be given to predict the DEA efficiency of a new DMU. A real example testifies the efficiency, practicability and intellectual ability of this method.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"26 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":"115128708","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: 6
The Construction and Analysis of Enterprise External Competitive Advantage Function Based on Knowledge Network in Urban Agglomerations 基于知识网络的城市群企业外部竞争优势函数构建与分析
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.199
Jianfeng Chen, Jianwei Zheng
{"title":"The Construction and Analysis of Enterprise External Competitive Advantage Function Based on Knowledge Network in Urban Agglomerations","authors":"Jianfeng Chen, Jianwei Zheng","doi":"10.1109/WKDD.2009.199","DOIUrl":"https://doi.org/10.1109/WKDD.2009.199","url":null,"abstract":"Firstly, the paper analyzes the relationship between the urban agglomerations and the enterprise competitive advantage based on knowledge network, then constructs enterprise external competitive advantage function in urban agglomerations, analyzes the constraint conditions of enterprise external competitive advantage maximization and discusses the variable mechanism of knowledge network readiness function in urban agglomerations. Finally, taking enterprise external competitive advantage of Yangtze triangle Urban Agglomerations as an example, this article analyzes its present situation and readiness of knowledge network, then analyzes its enterprise external competitive advantage, and puts forward the improving path of enterprises external competitive advantage by optimizing knowledge network.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"36 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":"128403640","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 of Fuzzy Neural Network Model Based on Quantum Clustering 基于量子聚类的模糊神经网络模型研究
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.193
Jie Sun, Sheng-nan Hao
{"title":"Research of Fuzzy Neural Network Model Based on Quantum Clustering","authors":"Jie Sun, Sheng-nan Hao","doi":"10.1109/WKDD.2009.193","DOIUrl":"https://doi.org/10.1109/WKDD.2009.193","url":null,"abstract":"Fuzzy neural network can handle non-linear, complex data, but the structure of model determination is an important and difficult issues identified. More complete results can be made .in a short period of time by the optimization network model. To address this issue, this paper presents the fusion of a quantum clustering algorithm and fuzzy c-means clustering algorithm, the fuzzy neural network structure is carried out at different levels data processing. Through the model of mining in complex industrial process, the validity of the model is tested.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"67 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":"130700070","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
The Symbiotic Relationship between Coal Mining Machinery Enterprises and Coal Mining Enterprises in China 中国煤矿机械企业与煤矿企业的共生关系
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.152
Fei Wang
{"title":"The Symbiotic Relationship between Coal Mining Machinery Enterprises and Coal Mining Enterprises in China","authors":"Fei Wang","doi":"10.1109/WKDD.2009.152","DOIUrl":"https://doi.org/10.1109/WKDD.2009.152","url":null,"abstract":"This article used VAR model to analyze and verify the symbiosis between Chinese coal mining machinery enterprises and coal mining enterprises from the perspective of static state and dynamic state, it concluded that: there is a co-integration relationship between the actual output value of Chinese coal mining machinery enterprises and the actual value of Chinese coal mining enterprises, namely, there is a long-term and stable equilibrium; Chinese coal mining machinery enterprises have advanced the development of Chinese coal mining enterprises, while the development of Chinese coal mining enterprises also have played a significant role in promoting Chinese coal mining machinery enterprises; in the short term, the changes of the actual output value of Chinese coal mining machinery enterprises are due to themselves as well as the actual output value of Chinese coal mining enterprises, and the changes of actual output value of Chinese coal mining enterprises are also due to themselves and the actual output value of Chinese coal mining machinery enterprises.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"53 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":"132200584","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 Novel RS-based Key Frame Representation for Video Mining in Compressed-Domain 一种新的基于rs的压缩域视频挖掘关键帧表示
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.84
Xiang-wei Li, M. Zhang, Ya-Lin Zhu, Jin-hong Xin
{"title":"A Novel RS-based Key Frame Representation for Video Mining in Compressed-Domain","authors":"Xiang-wei Li, M. Zhang, Ya-Lin Zhu, Jin-hong Xin","doi":"10.1109/WKDD.2009.84","DOIUrl":"https://doi.org/10.1109/WKDD.2009.84","url":null,"abstract":"It is a challenging issue to analyze video content for video mining tasks due to lacking of effective representation of video. In this paper, we propose a novel key frame representation algorithm based on Rough Sets (RS) in Discrete Cosine Transform (DCT) compressed-domain. Firstly, we extract DCT coefficients in compressed-domain, select and preprocess the DC coefficients that derived from DCT coefficients. Secondly, we construct Information System with DC coefficients. Finally, we reduce Information System using attributes reduced theory of RS, and obtained the representation of the video frames by reduced DC coefficients. Experimental results show that the proposed algorithm is fast and effective. Compared to conventional algorithm, our algorithm enjoys the following advantages: (1) the numbers of the key frame extracted using our algorithm become more scientific; (2) the algorithm can avoid the expensive computations in decompression processes.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"1 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":"129804342","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
Research on the Technological Innovation Diffusion Based on the Self-organization Theory: The Case of China Communication Industry 基于自组织理论的技术创新扩散研究——以中国通信行业为例
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.88
Rui Li, Xiaofeng Ju
{"title":"Research on the Technological Innovation Diffusion Based on the Self-organization Theory: The Case of China Communication Industry","authors":"Rui Li, Xiaofeng Ju","doi":"10.1109/WKDD.2009.88","DOIUrl":"https://doi.org/10.1109/WKDD.2009.88","url":null,"abstract":"Technological innovation is a complex system. There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic “the fluctuation” and constructs the self-organization model of technological innovation then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. This model has realized the integration of the natural sciences and the social sciences, and has more in-depth understanding about the achieve mechanism and the evolutionary process of the technological innovation and diffusion.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"58 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":"132385764","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
Study on the Risk Prediction of Real Estate Investment Whole Process Based on Support Vector Machine 基于支持向量机的房地产投资全过程风险预测研究
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.40
W. Li, Yong Zhao, Wenqing Meng, Shipeng Xu
{"title":"Study on the Risk Prediction of Real Estate Investment Whole Process Based on Support Vector Machine","authors":"W. Li, Yong Zhao, Wenqing Meng, Shipeng Xu","doi":"10.1109/WKDD.2009.40","DOIUrl":"https://doi.org/10.1109/WKDD.2009.40","url":null,"abstract":"With the rapid development of real estate, the risk of investment is also increasing rapidly. So the risk of predicting and controlling the real estate investment has become the key to the success or failure of the project. In this paper, a support vector machine (SVM) modeling approach for real estate investment risk prediction is proposed at first, which is made use of its merits of structural risk minimization principle, the small study sample and non-linear to analyze the risk factors during investment every stage in real estate projects, then a model based on support vector machines in real estate investment risk is built up, at last, an example is given to prove that this model is effective and practical. All these are used of providing useful help of the future of real estate investment risk control and management.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"43 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":"122231311","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: 5
Activities in Emergency Management: Evidence from Case Study 应急管理活动:来自案例研究的证据
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.159
Ashir Ahmed, L. Sugianto
{"title":"Activities in Emergency Management: Evidence from Case Study","authors":"Ashir Ahmed, L. Sugianto","doi":"10.1109/WKDD.2009.159","DOIUrl":"https://doi.org/10.1109/WKDD.2009.159","url":null,"abstract":"This paper presents an activity based model for the adoption of technology in emergency management. Furthermore, multiple case study has been employed as a research method to validate the proposed conceptual model. The empirical findings from multiple case studies are also reported in this paper. It is hoped that our research findings will better inform researchers in the field and facilitate organizations in adopting technology for emergency management.","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":"124773673","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
Construction and Application of the Decision Tree Model for Agricultural Land Grading Based on MATLAB 基于MATLAB的农用地定级决策树模型的构建与应用
2009 Second International Workshop on Knowledge Discovery and Data Mining Pub Date : 2009-01-23 DOI: 10.1109/WKDD.2009.9
Lu Zhao, Xin-qi Zheng, Hongwen Yan, Shuqing Wang, Kouqiang Zhang
{"title":"Construction and Application of the Decision Tree Model for Agricultural Land Grading Based on MATLAB","authors":"Lu Zhao, Xin-qi Zheng, Hongwen Yan, Shuqing Wang, Kouqiang Zhang","doi":"10.1109/WKDD.2009.9","DOIUrl":"https://doi.org/10.1109/WKDD.2009.9","url":null,"abstract":"Aiming at the insufficiencies of traditional agricultural land grading methods, this study discussed the process and technical route of agricultural land grading based on decision tree analysis method and GIS, constructed an agricultural land grading model based on MATLAB and decision tree C4.5 algorithm. Furthermore, We took Luanwan village of Pingyin county in China for the empirical study, selected seven indicators as the test attributes, predicted agricultural land grade on support of this model, and expressed the rules in the quantitative way. The results showed that agricultural land grading model based on decision tree which is coded in M-language of MATLAB doesn’t rely on the empirical knowledge. It has the ability of self-learning, and the gained rules are easy to be understood. Moreover, the high rate of accuracy will be able to meet the requirements of evaluation.","PeriodicalId":143250,"journal":{"name":"2009 Second International Workshop on Knowledge Discovery and Data Mining","volume":"16 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":"126156765","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: 4
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