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Event mining: algorithms and applications

Contributor(s): Series: Chapman &​ Hall/​CRC data mining and knowledge discovery seriesPublication details: Boca Raton CRC Press 2016Description: xxv, 308 pISBN:
  • 9781466568570
Subject(s): DDC classification:
  • 006.312 E9
Summary: 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 system management. The book first explains how to transform log data in disparate formats and contents into a canonical form as well as how to optimize system monitoring. It then shows how to extract useful knowledge from data. It describes intelligent and efficient methods and algorithms to perform data-driven pattern discovery and problem determination for managing complex systems. The book also discusses data-driven approaches for the detailed diagnosis of a system issue and addresses the application of event summarization in Twitter messages (tweets). Understanding the interdisciplinary field of event mining can be challenging as it requires familiarity with several research areas and the relevant literature is scattered in diverse publications. This book makes it easier to explore the field by providing both a good starting point for readers not familiar with the topics and a comprehensive reference for those already working in this area. (https://www.crcpress.com/Event-Mining-Algorithms-and-Applications/Li/p/book/9781466568570)
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Ahmedabad Non-fiction 006.312 E9 (Browse shelf(Opens below)) Available 192284
Total holds: 0

Table of Contents:

1. Introduction

Part I - Event Generation and System Monitoring
2. Event Generation: From Logs to Events
3. Optimizing System Monitoring Configurations

Part II - Pattern Discovery and Summarization
4. Event Pattern Mining
5. Mining Time Lags
6. Log Event Summarization

Part III – Applications
7. Data-Driven Applications in System Management
8. Social Media Event Summarization Using Twitter Streams

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 system management.

The book first explains how to transform log data in disparate formats and contents into a canonical form as well as how to optimize system monitoring. It then shows how to extract useful knowledge from data. It describes intelligent and efficient methods and algorithms to perform data-driven pattern discovery and problem determination for managing complex systems. The book also discusses data-driven approaches for the detailed diagnosis of a system issue and addresses the application of event summarization in Twitter messages (tweets).

Understanding the interdisciplinary field of event mining can be challenging as it requires familiarity with several research areas and the relevant literature is scattered in diverse publications. This book makes it easier to explore the field by providing both a good starting point for readers not familiar with the topics and a comprehensive reference for those already working in this area.

(https://www.crcpress.com/Event-Mining-Algorithms-and-Applications/Li/p/book/9781466568570)

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