Learning Time-based Rules for Prediction of Alarms from Telecom Alarm Data Using Ant Colony Optimization
文献类型：期刊论文
| 作者 | Imran Khan; Joshua Z. Huang; Nguyen Thanh Tung |
| 刊名 | International Journal of Computer and Information Technology
 |
| 出版日期 | 2014 |
| 英文摘要 | This paper proposes a new method to learn time based rules from telecom system alarm data for prediction of the classes of alarms. A time based rule associates an alarm class with the S-tartTime attribute and other attributes of alarms. The rules are evaluated with the coverage of the rules in the training data set. Given a new alarm generated at a particular time, its alarm class can be predicted with a set of time based rules. We present a new algorithm that extracts time based rules from alarm data through an ant colony optimization (ACO) process. Given an alarm training data, a search space is formulated as a square matrix indexed by distinctive attribute values. The pheromone at the search space is computed from the training data and a time based rule is discovered from the pheromone distribution. The pheromone distribution is updated after a time based rule is extracted and the search for a new rule starts. A rule pruning process is used to remove redundant rules and increase the prediction accuracy of the final rule set. We experimented the new method on Nokia Simmons (NSN) and Ericsson data sets and compared the results of the new method and the TimeSeluth system. The comparison demonstrated that the new method outperformed TimeSeluth in prediction accuracy. |
| 收录类别 | 其他 |
| 原文出处 | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.429.1917 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5967]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | International Journal of Computer and Information Technology |
| 推荐引用方式 GB/T 7714 | Imran Khan,Joshua Z. Huang,Nguyen Thanh Tung. Learning Time-based Rules for Prediction of Alarms from Telecom Alarm Data Using Ant Colony Optimization[J]. International Journal of Computer and Information Technology,2014. |
| APA | Imran Khan,Joshua Z. Huang,&Nguyen Thanh Tung.(2014).Learning Time-based Rules for Prediction of Alarms from Telecom Alarm Data Using Ant Colony Optimization.International Journal of Computer and Information Technology. |
| MLA | Imran Khan,et al."Learning Time-based Rules for Prediction of Alarms from Telecom Alarm Data Using Ant Colony Optimization".International Journal of Computer and Information Technology (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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