Abstract
Event logs are files that can record significant events that occur on a computing device. For example, when a user logs in or logs out, when the device encounters an error, etc., events are recorded. These events logs can be used to troubleshoot the device when it is down or works inappropriately. Generally, automatic device troubleshoot includes mining interesting patterns inside log events and classifying them as normal patterns or anomalies. In this paper, we are providing a sequential mining technique named ECLAT to discover interesting patterns over event logs.
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Sundeep, A.S., Veena, G.S. (2018). Discovering Frequent Itemsets Over Event Logs Using ECLAT Algorithm. In: Reddy, M., Viswanath, K., K.M., S. (eds) International Proceedings on Advances in Soft Computing, Intelligent Systems and Applications . Advances in Intelligent Systems and Computing, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-5272-9_6
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DOI: https://doi.org/10.1007/978-981-10-5272-9_6
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