Third International Conference on Autonomic and Autonomous Systems (ICAS'07)最新文献_第2页

Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining 知识地图:一种支持分布式数据挖掘知识管理的新方法

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.80

Nhien-An Le-Khac, Lamine M. Aouad, Mohand Tahar Kechadi

{"title":"Knowledge Map: Toward a New Approach Supporting the Knowledge Management in Distributed Data Mining","authors":"Nhien-An Le-Khac, Lamine M. Aouad, Mohand Tahar Kechadi","doi":"10.1109/CONIELECOMP.2007.80","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2007.80","url":null,"abstract":"Distributed data mining (DDM) deals with the problem of finding patterns or models, called knowledge, in an environment with distributed data and computations. Today, a massive amounts of data which are often geographically distributed and owned by different organisation are being mined. As consequence, a large mount of knowledge are being produced. This causes problems of not only knowledge management but also visualization in data mining. Besides, the main aim of DDM is to exploit fully the benefit of distributed data analysis while minimising the communication. Existing DDM techniques perform partial analysis of local data at individual sites and then generate a global model by aggregating these local results. These two steps are not independent since naive approaches to local analysis may produce an incorrect and ambiguous global data model. The integrating and cooperating of these two steps need an effective knowledge management, concretely an efficient map of knowledge in order to take the advantage of mined knowledge to guide mining the data. In this paper, we present \"knowledge map\", a representation of knowledge about mined knowledge. This new approach aims to manage efficiently mined knowledge in large scale distributed platform such as Grid. This knowledge map is used to facilitate not only the visualization, evaluation of mining results but also the coordinating of local mining process and existing knowledge to increase the accuracy of final model.","PeriodicalId":288478,"journal":{"name":"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122307970","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: 25

Use Case Driven Approach to Self-Monitoring in Autonomic Systems 用例驱动的方法实现自主系统中的自我监控

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.113

A. R. Haydarlou, M. Oey, B. Overeinder, F. Brazier

引用次数: 10

SVC-Based Multivariate Control Charts for Automatic Anomaly Detection in Computer Networks 计算机网络中基于svc的多变量控制图自动异常检测

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.99

Zhisheng Zhang, Xuejun Zhu

引用次数: 11

A Dynamic QoS Management for Next Generation of Services 下一代服务的动态QoS管理

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.42

H. Huynh, E. Lavinal, N. Simoni

引用次数: 14

Non-linear Optimization of Performance Functions for Autonomic Database Performance Tuning 用于自主数据库性能调优的性能函数非线性优化

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.89

G. Rabinovitch, D. Wiese

引用次数: 18

Concurrent Inference on High Level Context Using Alternative Context Construction Trees 使用可选上下文构造树的高层上下文并发推理

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.67

Michael R. Krause, Claudia Linnhoff-Popien, Markus Strassberger

{"title":"Concurrent Inference on High Level Context Using Alternative Context Construction Trees","authors":"Michael R. Krause, Claudia Linnhoff-Popien, Markus Strassberger","doi":"10.1109/CONIELECOMP.2007.67","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2007.67","url":null,"abstract":"Context aware services rely on context information. However, in many cases this information is not available. In this case, the missing context information can often either be inferred from existing knowledge using different inference approaches, or accessed from external context providers. Thereby, dealing with uncertainty is another major concern. In this paper we present a generic approach called alternative context construction trees (ACCTs) that enables the concurrent evaluation and consolidation of different alternative inference approaches, like logic rules, Bayesian networks and CoCoGraphs. In particular, we introduce a common signature structure to make those alternatives comparable in a generic way. Thereby, the approach is able to adapt dynamically to specific service requirements with respect to the accuracy of available context information. In addition, we present so called Bayesian network templates that enable a light-weight inference of high-level context information if only probabilistic knowledge about the causal interdependencies of context artifacts is available.","PeriodicalId":288478,"journal":{"name":"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117200458","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: 7

On Modeling Adaptation in Context-Aware Mobile Grid Systems 上下文感知移动网格系统建模自适应研究

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.90

A.M. Otebolaku, M. Adigun, J. Iyilade, O. Ekabua

引用次数: 10

Mobile Agent for Efficient Routing among Source Nodes in Wireless Sensor Networks 无线传感器网络源节点间高效路由的移动代理

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.83

E. Shakshuki, Xinyu Xing, H. Malik

{"title":"Mobile Agent for Efficient Routing among Source Nodes in Wireless Sensor Networks","authors":"E. Shakshuki, Xinyu Xing, H. Malik","doi":"10.1109/CONIELECOMP.2007.83","DOIUrl":"https://doi.org/10.1109/CONIELECOMP.2007.83","url":null,"abstract":"In wireless sensor network, a lot of sensory traffic with redundancy is produced due to massive node density and their diverse placement. This causes the decline of scarce network resources such as bandwidth and energy, thus decreasing the lifetime of sensor network. Recently, mobile agent is proposed as a solution to overcome these problems. Mobile agent accounts for performing data processing and making data aggregation decisions at nodes rather than bring data back to a central processor (sink). Using this approach, redundant sensory data will be eliminated. However, carrying a huge amount of aggregated data among source nodes, using mobile agent, requires immensely planned routing. This is to avoid hastily burning source nodes energy in interest region. Towards this end, we propose a novel approach to achieve optimal routing path for mobile agent. Our proposed approach has two folds. Firstly, Dijkstra's algorithm is used to generate a complete graph to connect all source nodes. Secondly, genetic algorithm is performed on a completed graph to generate best approximated route. To demonstrate the feasibility of our approach, formal analysis and experimental results are presented.","PeriodicalId":288478,"journal":{"name":"Third International Conference on Autonomic and Autonomous Systems (ICAS'07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120958243","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: 16

Autonomic Goal-Oriented Business Process Management 自主的面向目标的业务流程管理

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.61

D. Greenwood, G. Rimassa

引用次数: 41

Design and Analyze the Communication in the Multi-Core Soc Driven by Petri Net Petri网驱动的多核Soc通信设计与分析

Third International Conference on Autonomic and Autonomous Systems (ICAS'07) Pub Date : 2007-06-19 DOI: 10.1109/CONIELECOMP.2007.71

Yuan Yonggang, Chen Tianzhou, Dai Hongjun

引用次数: 3