loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Daniel Tovarňák

Affiliation: Institute of Computer Science, Masaryk University, Brno and Czech Republic

Keyword(s): Log Abstraction, Message Type Discovery, Log Management, Logging, Unstructured Data.

Abstract: Log message abstraction is a common way of dealing with the unstructured nature of log data. It refers to the separation of static and dynamic part of the log message, so that both parts can be accessed independently, allowing the message to be abstracted into a more structured representation. To facilitate this task, so-called message types and the corresponding matching patterns must be first discovered, and only after that can be this pattern-set used to pattern-match individual log messages in order to extract dynamic information and impose some structure on them. Because the manual discovery of message types is a tiresome and error-prone process, we have focused our research on data mining algorithms that are able to discover message types in already generated log data. Since we have identified several deficiencies of the existing algorithms, which are limiting their capabilities, we propose a novel algorithm for message type discovery addressing these deficiencies.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.200.66

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tovarňák, D. (2019). An Algorithm for Message Type Discovery in Unstructured Log Data. In Proceedings of the 14th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-379-7; ISSN 2184-2833, SciTePress, pages 665-676. DOI: 10.5220/0007919806650676

@conference{icsoft19,
author={Daniel Tovarňák.},
title={An Algorithm for Message Type Discovery in Unstructured Log Data},
booktitle={Proceedings of the 14th International Conference on Software Technologies - ICSOFT},
year={2019},
pages={665-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007919806650676},
isbn={978-989-758-379-7},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - ICSOFT
TI - An Algorithm for Message Type Discovery in Unstructured Log Data
SN - 978-989-758-379-7
IS - 2184-2833
AU - Tovarňák, D.
PY - 2019
SP - 665
EP - 676
DO - 10.5220/0007919806650676
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic