ABSTRACT

Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus on computing sys

chapter 1|10 pages

Introduction

part |2 pages

Part I Event Generation And System Monitoring

chapter 2|36 pages

Event Generation: From Logs To Events

part |2 pages

Part II Pattern Discovery And Summarization

chapter 4|52 pages

Event Pattern Mining

chapter 5|28 pages

Mining Time Lags

chapter 6|42 pages

Log Event Summarization

part |2 pages

Part III Applications