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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)最新文献

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Design and Implementation of Embedded Multimedia Surveillance System 嵌入式多媒体监控系统的设计与实现
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.50
Yan Liu, Ren-fei Li, Cheng Xu, Fei Yu
{"title":"Design and Implementation of Embedded Multimedia Surveillance System","authors":"Yan Liu, Ren-fei Li, Cheng Xu, Fei Yu","doi":"10.1109/WKDD.2008.50","DOIUrl":"https://doi.org/10.1109/WKDD.2008.50","url":null,"abstract":"Due to the thrive of networking multimedia, artificial intelligence and embedded system, video surveillance system is evolved from computer-based to embedded-based. This paper presents an intelligent multimedia surveillance system based on embedded video server. Design and implementation issues of this surveillance system are discussed including system architecture, hardware design and software framework. Moreover, practical applications show that our framework can suitable for commercial applications.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128974650","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
The Study on Network Collaborative Manufacturing System 网络协同制造系统研究
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.149
Feng Xiong, Zhongzhen Zhang, Yanwu Liu
{"title":"The Study on Network Collaborative Manufacturing System","authors":"Feng Xiong, Zhongzhen Zhang, Yanwu Liu","doi":"10.1109/WKDD.2008.149","DOIUrl":"https://doi.org/10.1109/WKDD.2008.149","url":null,"abstract":"A framework of network collaborative manufacturing system is proposed in this paper, which is an integration of several functional systems and mainly consists of ISS, CMSS and LTS. It puts forward CMSS based on net manufacturing information, describes the destination of the system, the system structure, principal functions and working flow. With the system the enterprises achieve information communication, information sharing and information service, finish the punctual supervision in the process of products manufacturing, coordination of produce progress between up-stream and down-stream corporations, adjustment of produce task, resource sharing, allocation and delivery between collaborative enterprises; and the product flowing is also efficiently controlled in logics circle to make sure that products can be delivered safely and quickly.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128603584","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 Website Structure Optimization Model for More Effective Web Navigation 一种新的网站结构优化模型，用于更有效的网站导航
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.77
Wen-long Lin, Ye-zheng Liu
{"title":"A Novel Website Structure Optimization Model for More Effective Web Navigation","authors":"Wen-long Lin, Ye-zheng Liu","doi":"10.1109/WKDD.2008.77","DOIUrl":"https://doi.org/10.1109/WKDD.2008.77","url":null,"abstract":"A novel website structure optimization model for more effective web navigation is proposed. First, web page group with low access efficiency is discovered by its support and its topology average distance; Then a measure degree, website topology interest, which can overall indicate the website access efficiency is proposed as guidance rule to optimize the website hyperlink structure; Finally, users' navigation are facilitated by optimizing website linkage structure that reduces the number of steps to locate their target web pages. Experiments result on a distance education website show that our approach is efficient and practical for adaptive website.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122520926","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: 18
RBFNN Siding Mode Control Based on Semi-Physical Simulation Platform 基于半物理仿真平台的RBFNN侧壁模式控制
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.73
Peng Yang, Pinjie Liu, Yan Zhang, Xiaolei Wang
{"title":"RBFNN Siding Mode Control Based on Semi-Physical Simulation Platform","authors":"Peng Yang, Pinjie Liu, Yan Zhang, Xiaolei Wang","doi":"10.1109/WKDD.2008.73","DOIUrl":"https://doi.org/10.1109/WKDD.2008.73","url":null,"abstract":"Based on MATLAB RTW semi-physical simulation platform, a siding mode control algorithm is presented for a kind of uncertain time-delay system. Through a particular linear transformation, the original uncertain time-delay system was first transformed into a delay-free system. Based on the transformed system, a design method of optimal sliding mode with a quadratic performance index minimized was proposed. An appropriate control law which is approached by a RBFN and the weight of the network is tuned on line using adaptive algorithm to force the system states to reach the sliding manifold in finite time. Simulation results show the efficiency and superiority of the proposed method.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115979080","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
The Research and Development of the Highway's Electronic Toll Collection System 高速公路电子收费系统的研究与开发
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.100
Zhi-hong Xiao, Zong-qi Guan, Zi-han Zheng
{"title":"The Research and Development of the Highway's Electronic Toll Collection System","authors":"Zhi-hong Xiao, Zong-qi Guan, Zi-han Zheng","doi":"10.1109/WKDD.2008.100","DOIUrl":"https://doi.org/10.1109/WKDD.2008.100","url":null,"abstract":"ETC (electronic toll collection) is an electronic automatism toll collection system that was been researching by the world used in the highway, bridge and tunnel. Throwing information change between electronic labels that held vehicle and RFID antennas that was fixed the roadside or door frame, the center control computer can identify the road user by the information stored in the electronic label and deduct the pike from the road user advance stored card or bank account. Its obvious advantage is no parking troll collection. Thereby it can significantly improve the dispose efficiency of the toll station and the traffic ability of toll road.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132127205","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: 31
Modeling and Calculation for Network System Survivability 网络系统生存性建模与计算
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.34
Zhou Meng, Zhou Xueguang, Zhang Huanguo
{"title":"Modeling and Calculation for Network System Survivability","authors":"Zhou Meng, Zhou Xueguang, Zhang Huanguo","doi":"10.1109/WKDD.2008.34","DOIUrl":"https://doi.org/10.1109/WKDD.2008.34","url":null,"abstract":"Survivability is the ability of a system to continue operating despite the presence of abnormal events such as failures and intrusions. This paper presents a quantitative model of spare resource limited survivability (SRLSQM), based on the definition and four characteristic attributes of network survivability. The executing process of SRLSQM is also illustrated and then the calculating formulas are proposed which include the calculation of restoration rate and system state transition matrixes. The formulas reflect the survivability requirements in network spare resources. At last, a simulation testing is carried through, which demonstrates the feasibility and reliability of our model.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"78 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114946507","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
Operating Rules Classification System of Water Supply Reservoir Based on LCS 基于LCS的供水水库运行规则分类系统
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.146
Xiao-lin Wang, Zheng-jie Yin
{"title":"Operating Rules Classification System of Water Supply Reservoir Based on LCS","authors":"Xiao-lin Wang, Zheng-jie Yin","doi":"10.1109/WKDD.2008.146","DOIUrl":"https://doi.org/10.1109/WKDD.2008.146","url":null,"abstract":"Genetic algorithm-based learning classifier system (LCS) is a massively parallel, message-passing and rule-based machine learning system. But its potential self-adaptive learning capability has not been paid enough attention in reservoir operation research. In this paper, an operating rule classification system based on LCS , which learns through credit assignment (the bucket brigade algorithm) and rule discovery (the genetic algorithm), is established to extract water-supply reservoir operating rules. The proposed system acquires the online identification rate 95% for training samples and offline rate 85% for testing samples in a case study, and further discussions are made about the impacts on the performances or behaviors of the rule classification system from three aspects of obtained rules, training or testing samples and the comparisons between the rule classification system and the artificial neural network (ANN). The results indicate the learning classifier system is feasible and effective for the system to obtain the reservoir supply operating rules.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115349484","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
Construction of a Personalized Service Oriented Learning Resource Management System Framework 面向个性化服务的学习资源管理系统框架的构建
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.118
Zheng Hua
{"title":"Construction of a Personalized Service Oriented Learning Resource Management System Framework","authors":"Zheng Hua","doi":"10.1109/WKDD.2008.118","DOIUrl":"https://doi.org/10.1109/WKDD.2008.118","url":null,"abstract":"Personalized service is a service model that provides service strategy and content varying from one user to another. The user is the center of personalized information service and only when we have acquired the user's demand, interest, fondness, and habits can we recommend the most valuable information to users. In this paper, we proposed a personalized service oriented learning resource management system (PSOIRMS) model. This framework can provide the users several personalized services, such as personalized content recommendation, personalized content search and personalized content presentation. The emphasis of this paper is to propose the key technologies of how to realize the personalized content filtering.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954935","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
An Efficient Association Rule Mining Algorithm In Distributed Databases 分布式数据库中一种高效的关联规则挖掘算法
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.33
Wu Jian, L. Ming
{"title":"An Efficient Association Rule Mining Algorithm In Distributed Databases","authors":"Wu Jian, L. Ming","doi":"10.1109/WKDD.2008.33","DOIUrl":"https://doi.org/10.1109/WKDD.2008.33","url":null,"abstract":"This paper describes the alarm correlation in communication networks based on data mining. A direct application of sequential algorithms to distributed databases is not effective, because it requires a large amount of communication overhead. In our study, an efficient algorithm, EDMA, is proposed. It minimizes the number of candidate sets and exchange messages by local and global pruning. In local sites, it runs the application based on the improved algorithm-CMatrix, which is used to calculate local support counts. By numbering the global frequent itemsets generated at the end of k-th iteration from 1 to m, the algorithm codes every candidate (k+l)-itemset into a pair of those number formed as-(x,y) to compress the context transmitted and query corresponding support counts in CMatrix. Our solution also reduces the size of average transactions and datasets that leads to reduction of scan time. The performance study shows that EDMA has superior running efficiency, lower communication cost and stronger scalability than direct application of a sequential algorithm in distributed databases.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128648075","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: 20
A Novel Algorithm for Dynamic Mining of Association Rules 一种新的关联规则动态挖掘算法
First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008) Pub Date : 2008-01-23 DOI: 10.1109/WKDD.2008.32
Wu Jian, L. Ming
{"title":"A Novel Algorithm for Dynamic Mining of Association Rules","authors":"Wu Jian, L. Ming","doi":"10.1109/WKDD.2008.32","DOIUrl":"https://doi.org/10.1109/WKDD.2008.32","url":null,"abstract":"Nowadays, communication network turns to be more complex, once there occurs a failure, there will result in multi-alarm-events which require relevant transactions. This paper describes the alarm correlation in communication networks based on data mining. The association rules from self-adaptation for dynamic network resource and service that build new rule by fully utilizing and maintaining rules formed before while transactions grow/delete or minimum support changes which enables the framework is easily updated and new discovery methods be readily incorporated within it. Both theoretical analysis and computer simulations illustrate outstanding performance of the proposed models, which can be further optimized by experiments for specific environment.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127577697","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: 8
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