南京理工大学学报（自然科学版）2017，Vol.41Issue(5)：634-645,12.DOI:10.14177/j.cnki.32-1397n.2017.41.05.016
面向电力大数据日志分析平台的异常监测集成预测算法
Ensemble forecasting algorithm for anomaly detection on electric-power big data log analysis platform
摘要
Abstract
In view of that the traditional or the new log processing system can not meet the requirements of the log analysis in the current situation of big data entirely with the development of power enterprise network technology,an algorithm for estimating the number of systems based on time series and the evaluation system are presented to realize the system for the algorithm. The algorithm integrates multiple classification prediction algorithms to classify the collected log data, and then realize the purpose of forecasting the number of anomaly systems with the best accuracy. The evaluation system also supports that the algorithm can increase the security of the log analysis platform.关键词
日志分析/异常监测/大数据平台/集成预测算法Key words
log analysis/anomaly detection/big data platform/ensemble forecasting algorithm分类
信息技术与安全科学引用本文复制引用
倪震,李千目,郭雅娟..面向电力大数据日志分析平台的异常监测集成预测算法[J].南京理工大学学报（自然科学版）,2017,41(5):634-645,12.基金项目
国网公司科技项目 （）
江苏省重大研发计划产业前瞻项目( BE2017100 ) （ BE2017100 ）
赛尔下一代互联网创新项目(NGII20160122) （NGII20160122）
