Holistic Processing and Exploring Event Logs
| Autor: | Marcin Kubacki, Janusz Sosnowski |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Vocabulary
Computer science Event (computing) business.industry media_common.quotation_subject 020207 software engineering 02 engineering and technology Machine learning computer.software_genre Event data 020204 information systems 0202 electrical engineering electronic engineering information engineering Dependability Statistical analysis Anomaly detection Artificial intelligence business Resilience (network) computer media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319659473 SERENE |
| DOI: | 10.1007/978-3-319-65948-0_12 |
| Popis: | Computer systems generate large amounts of event logs related to various operational aspects (positive and negative). Extracting from them useful information (e.g. targeted at dependability and resilience issues) is a challenging problem widely discussed in the literature and still needing deeper studies. We have developed a new holistic approach using enhanced event classification (based on original text mining algorithms) combined with multidimensional statistical analysis of various properties in vocabulary (words, phrases), time, spatial, local and global correlations. It has been incorporated in the developed tools and verified on event data sets collected from different computers. |
| Databáze: | OpenAIRE |
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