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检索条件"任意字段=2007年国际电子商务、工程及科学领域的分布式计算和应..."

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Neural Networks Based on Fuzzy Clustering and Its Application in Electrical Equipment's Fault Diagnosis

Neural Networks Based on Fuzzy Clustering and Its Applicatio...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Long Zhou Xuezhi Wang Wuhan Polytechnic University,Wuhan,430023,P.R.China Mianyun Chen Huazhong University of Science and Technology,Wuhan,430074,P.R.China

Combining the fuzzy sets theory and neural network to carry on the faultdiagnosis is a most prosperous diagnosis *** article put forward a sample processing method using fuzzy clustering and studied the application of fuzzy competition classification method in extracting contradiction samples,then advanced the diagnosis method of neural network based on fuzzy clustering,finally carded on the simulation *** calculation results show that all the above-mentioned methods are quite *** is a better and prosperous way to combine neural network theory and fuzzy clustering to carry on insulation diagnosis.

关键词： Neural network fuzzy clustering electrical equipment fault diagnosis

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Mining Positive and Negative Association Rules with Weighted Items

Mining Positive and Negative Association Rules with Weighted...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： He Jiang Yuanyuan Zhao Xiangjun Dong Shiju Shang School of Information Science and Technology,Shandong Institute of Light Industry,Jinan,250353,China

Many interesting rules are lost if the minimum support is high,but combinatorial explosion is likely to occur if the minimum support is *** solve the problem,the traditional association rules are extended by allowing a weight to be associated with each item in a transaction to reflect interest or *** positive association rules can be found in the past weighted association rules, whereas the negative weighted association rules are as important as the *** rules maybe occur when simultaneously studying the positive and negative association *** this paper,an algorithm for mining the positive and negative weighted association rules (PNWAR)is proposed to solve the corresponding *** correlation method is applied to the algorithm for mining the weighted association *** only is the difference of the items in the database solved, but also the negative association rules are mined and the contrary rules are eliminated using the *** experiment is performed and the results of it show that the algorithm is efficient.

关键词： Association Rule Algorithm Apriori PNWAR Weight Frequent Itemset Correlation

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A Billing System Model Based on Parallel Processing

A Billing System Model Based on Parallel Processing

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Yong Zheng Computer Institute,Nanjing University of the Posts & Communications,NO.66.Xin Mofan Road Nanjing,Jiangsu Province,210003,China Hanhua Lu Yanfei Sun Information Network Institute,Nanjing University of the Posts & Communications,NO.66.Xin Mofan Road Nanjing,Jiangsu Province,210003,China

Telecom billing system is one of the core systems of tclecom ***,customers'demand for Real-time Processing becomes higher and higher. Parallel processing is usually used to process complex issues,promote efficiency,save time and *** this paper,a billing system model based on parallel processing is put forward,which can solve the problems and can be expanded,improved and be more widely used in the telecom *** parallel methods are discussed in the model,such as synchronization,loading balance,pipelining,etc.

关键词： Billing System Real-time Processing Parallel Multi-processor Telecom Industry

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A Multiple Constrained Long-life QoS Multicast Routing Algorithm in MANET

A Multiple Constrained Long-life QoS Multicast Routing Algor...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Chunhua Xia~1 Rui Yang~1 Chao Gui~2 Baolin Sun~2 1 Department of Electrical Engineering,Hubei University of Economics,Wuhan,Hubei 430205,P.R.China 2 School of Computing,Hubei University of Economics,Wuhan,Hubei 430205,P.R.China

A mobile ad hoc network(MANET)is a collection mobile network nodes dynamically forming of wireless temporary without the use of any existing network infrastructure or centralized *** paper introduces a multiple constrained long-life QoS multicast routing algorithm in MANETs(MCQMR).The key idea of MCQMR algorithm is to construct the new metric-entropy and select the stability path with the help of entropy metric to reduce the number of route reconstruction so as to provide QoS guarantee in *** simulation results show that the proposed approach and parameters provide an accurate and efficient method of estimating and evaluating the route stability in dynamic MANETs.

关键词： Mobile Ad Hoc Networks(MANET) Entropy Multicast Routing

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A Studying the Conceptual Model and Critical Technology Based on Enrterprises Finance System

A Studying the Conceptual Model and Critical Technology Base...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Ming Ni College of Economics and Management,East China Jiaotong University,Nanchang,Jiangxi,330013,China

The tradition financial accounting pattern has played an important roles in enterprises financial field last century, the tradition accounting pattern has faced great challenge,with the development of computer,network technology and the change of manufacturing pattern, etc..Constructing a practical and feasible financial system(FS)conceptual model is the premise of improving the competence of FS *** view of such two important platforms as technology platform and corporate culture platform that are provided by Enterprises Informatization(EI),the conceptual model of FS for SDN node enterprise,which includes two platforms and a core part,a financial information operation circulation,is designed in the *** whole operation process of FS conceptual model is described in terms of technology,tool and corporate *** node enterprise can refer to the model when running into the FS plight.

关键词： Financial Accounting Pattern Conceptual Model Critical Technology SDN

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Combined Forecast Model and Application Research of Tobacco Sales Based on Group Method of Data Handling and Auto Regression Integrated Moving Average

Combined Forecast Model and Application Research of Tobacco ...

引用

2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Weimin Liu~(1,2)Aiyun Zheng~2 Sujian Li~1 Jiangsheng Sun~1 Fanggeng Zhao~1 Zhihong Li~3 1 Department of Logistics Engineering,University of Science and Technology Beijing Beijing 100083,China 2 Department of Mechanical Engineering,Hebei Polytechnic University,Tangshan,Hebei Province 063009,China 3 Department of Industrial Engineering,Tsinghua University,Beijing 100084,China

Tobacco sales prediction is important to policy formulation and management upgrading of Chinese *** this paper,the characteristics and impact factors about tobacco sales forecast system were detailed ***,aiming at the long-term growth trends and seasonal fluctuations of monthly sales, a hybrid method which combined both ARIMA and GMDH models were *** proposed method took advantage of each model's strength in linear and nonlinear *** sales data(Jan 2002 to Mar 2007)of one municipal tobacco commercial company were used to test this *** tested model was used in sales prediction of first three months *** analyzing the PE(Percentage Error)and MAPE(Mean Absolute Percentage Error)of forecast results,it indicates that the accuracy of combination forecast model can fit the need of forecast process and the proposed method is an effective way to tobacco sales prediction.

关键词： Tobacco sales forecast GMDH ARIMA Combined forecast data mining

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Research on the Calculation Method for Weight of the Feature Weighted Fuzzy Clustering Algorithm

Research on the Calculation Method for Weight of the Feature...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Xiaojun Tong~(1,2)Qin Jiang~1 Haitao Gan~1 Shah Zeng~1 Kai Zhao~1 1 Department of Mathematics and Physics,Wuhan Polytechnic University,Wuhan 430074,China 2 Department of Control Science and Engineering,Huazhong University of Science and Technology Wuhan 430074,China

In the traditional fuzzy C-Means algorithm,each feature of the samples plays a uniform contribution for *** in fact,due to the feature selection are not perfect,and their scalarization have some blindness, each feature of the feature vector is not uniform for clustering contribution,so we have to take into account the different effect of each feature *** this paper,we get a method for calculating the feature weight based on the feature contribution balance principle and the most separate degree principle of *** the IRIS example,we find that the calculation method for weight can not only enhance the calculation speed, and also make the clustering result better than the existing result.

关键词： FCM the feature weigh the center of clustering

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An Application of FCM Cluster in Hand-written Numeral Recognition Based on Zernike Moment

An Application of FCM Cluster in Hand-written Numeral Recogn...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Xiaojun Tong~(1,2)Shan Zeng~1 Qin Jiang~1 Kai Zhao~1 1 Department of Mathematics and Physics,Wuhan Polytechnic University,Wuhan 430023,China 2 Department of Control Science and Engineering,Huazhong University of Science and Technology Wuhan 430074,China

This article first used four steps of the compatible examination,the diversity examination,the relevant examination and the principal components analyzes to screen the handwritten digit Zemike moment,then we make use of the Fuzzy C-Mean cluster recognition of the hand-written numerals based on the screened Zemike *** example testified this method effective, and provides the theory basis for further establishment of the hand-written numeral recognition standard library. In this process,we have also discovered two reasons which cause the Fuzzy C-Mean cluster to be unefficient.

关键词： Zemike moment FCM cluster handwritten numeral recognition

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SWSPMiner:Efficient Mining of Weighted Sequential Patterns from Traversals on Weighted Directed Graph Using Statistical Theory

SWSPMiner:Efficient Mining of Weighted Sequential Patterns f...

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Runian Geng~(1,2)Wenbo Xu~1 Xiangjun Dong~2 1 School of Information Technology,Jiangnan University Wuxi,Jiangsu 214122,China 2 School of Information Science and Technology,Shandong Institute of Light Industry Jinan,Shandong 250353,China

To solve the problem of mining weighted traversal patterns(WTPs)with noisy weight from weighted directed graph(WDG),an effective algorithm,called SWSPMiner(Statistical theory-based Weighted Sequential Patterns Miner),is *** algorithm undergoes two phases to discover WSPs from the traversals on *** the first phase,it adopts the weight's confidence interval(CI) to delete the vertices with noisy weights from the traversal database(TDB), which reduce remarkably the size of *** the second phase,based on the property that the items in a traversal pattern are consecutive,the algorithm regards a traversal pattern as a sequence *** the algorithm adopts an improved weighted prefix-projected pattern growth approach to decompose the task of mining original sequence database into a series of smaller tasks of mining locally projected database and pushes the weight constraint into the mining process so as to efficiently discover fewer but more important WTPs, Comprehensive experimental results show that the algorithm is efficient and scalable for mining sequential patterns from traversals on the ***,the algorithm can be applied to various applications which can be modeled as a WDG.

关键词： Statistical Theory Weighted Directed Graph Traversal Pattern Mining Sequential Pattern Mining

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