| 講演名 | 2005-10-18 Identification Mining of Unusual Patterns for Multimedia Communication Networks by Using Fuzzy Linear Programming , |
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| 抄録(英) | This paper presents a data mining system of performance evaluation for multimedia communication networks (MCNs). The architecture of the data mining system for performance evaluation and the snowflake schema of data warehouse for performance evaluation are built. Then this paper applies the fuzzy classification methods to identify that the MCNs are in unusual patterns. Two important performance evaluation problems for the MCNs are considered in this paper. They are : (1) optimization problem for construction of the data mining system of performance evaluation; (2) category with real-time data corresponding the data mining system with means of dividing the performance data into usual and unusual categories. An algorithm is employed to identify performance data such as throughput capacity, package forwarding rate, response time and so on. A software named PEDM2.0 (Performance Evaluation Data Miner) is proposed to improve the accuracy and the effectiveness of the fuzzy linear programming (FLP) method comparing with decision tree, neural network, multiple criteria linear programming. |
| キーワード(和) | |
| キーワード(英) | Identification Mining / Performance Evaluation / Multimedia Communication Networks / Unusual Patterns / Fuzzy Linear Programming |
| 資料番号 | DE2005-134,DC2005-28 |
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| 研究会 | DE |
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| 開催期間 | 2005/10/11(から1日開催) |
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| 申込み研究会 | Data Engineering (DE) |
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| 本文の言語 | ENG |
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| タイトル（英） | Identification Mining of Unusual Patterns for Multimedia Communication Networks by Using Fuzzy Linear Programming |
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| キーワード(1)（和/英） | / Identification Mining |
| 第 1 著者 氏名（和/英） | / Jing HE |
| 第 1 著者 所属（和/英） | Institute of Intelligent Information and Communication Technology Konan University:Chinese Academy of Sciences Research Center on Data Technology and Knowledge Economy |
| 発表年月日 | 2005-10-18 |
| 資料番号 | DE2005-134,DC2005-28 |
| 巻番号（vol） | vol.105 |
| 号番号（no） | 338 |
| ページ範囲 | pp.- |
| ページ数 | 6 |
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