基于拓扑约束的时序数据挖掘算法在电信网络告警数据挖掘中的应用
首发时间:2009-02-13
摘要:在电信网管领域,网络故障定位问题受到越来越多的关注。而利用数据挖掘方法从电信网络告警数据中提取故障传播的线索是一个新的研究热点。针对电信数据挖掘中的几个关键问题,本文对电信网络及其告警数据的传播作了详尽的分析,发现了一些重要的特征,并基于此分析建立了一种面向故障定位的网络模型。我们将这种网络模型应用于数据预处理和数据挖掘进程之中,提出了新的数据预处理方法,并改进了经典的时序数据挖掘算法PreFixSan。随后,我们设计并开发了数据挖掘算法评测工具PRISMiner来评测上述方法。实验数据表明,我们提出的数据预处理方法和改进的时序数据挖掘算法能有效地提高电信告警挖掘的精度和效率。
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A Topological Constraints Based Sequential Data Mining Approach on Telecom Network Alarm Data
Abstract:The issue of fault location received extensive concern in the field of telecom network management. The data mining approaches are introduced to extract clues from the telecom alarm data for fault location. Aiming at the key problems in telecom data mining, we have made a comprehensive analysis on the telecom network and its data as well as the fault propagation,some important characteristics are discovered, and a fault location oriented network model is built to improve the traditional approaches in data transforming and data mining. An enhanced data mining algorithm is proposed to introduce the constraints in real world into the data mining procedures. A data mining tool (PRISMiner) is implemented to benchmark the new algorithm, and our experiments show that the new algorithm is quite effective in improving the accuracy and efficiency of the PreFixSpan mining algorithm.
Keywords: data mininng alarm analysis fault location
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No.2895940586312345****
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