کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
715458 892204 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pattern Mining for Predicting Critical Events from Sequential Event Data Log
ترجمه فارسی عنوان
الگوریتم معدن برای پیش بینی رویدادهای بحرانی از ورود اطلاعات رویداد پیوسته
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی

This paper studies the mining of patterns for predicting critical events from observed ordered event data, where the observations can contain interleaving from non-predictor and other predictor event sequences. These are characteristics of many practical applications such as monitoring in power systems or telecommunication networks, as well as computational biology. For settings where system behaviors are affected by noise, a critical event can sometimes occur without its predictor executed prior to it, and we propose algorithm to recursively compute the frequency that a predictor candidate precedes the critical event. This we use for identifying a predictor, and study the performance of such a scheme. We also consider the noise-free settings, in which a critical event occurs only after the execution of its predictor, and propose an algorithm to recursively compute the set of maximal predictors for each critical event.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 47, Issue 2, 2014, Pages 1-6