Normal view MARC view ISBD view

Event mining: algorithms and applications

Contributor(s): Li, Tao [Editor].
Series: Chapman &​ Hall/​CRC data mining and knowledge discovery series. Publisher: Boca Raton CRC Press 2016Description: xxv, 308 p.ISBN: 9781466568570.Subject(s): Data logging | Data miningDDC classification: 006.312 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)
List(s) this item appears in: Laha
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Item location Collection Call number Status Date due Barcode
Books Vikram Sarabhai Library
Slot 104 (0 Floor, West Wing) Non-fiction 006.312 E9 (Browse shelf) Available 192284

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)

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha