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Found 7 papers, 4 papers with code
AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review
The management of modern IT systems poses unique challenges, necessitating scalability, reliability, and efficiency in handling extensive data streams.
DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection
It is indeed not trivial to derive hash functions that satisfy the so-called locality-sensitive property for the most advanced crash bucketing metrics.
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
To achieve this, we design a pattern syntax and a quality measure that ensure the identified subgroups are relevant, non-redundant, and resilient to noise.
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report
Our experience can be beneficial for companies seeking to internally manage their software maintenance processes with a modern AIOps approach.
"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
Among daily tasks of database administrators (DBAs), the analysis of query workloads to identify schema issues and improving performances is crucial.
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users.
Identifying Avatar Aliases in Starcraft 2
In electronic sports, cyberathletes conceal their online training using different avatars (virtual identities), allowing them not being recognized by the opponents they may face in future competitions.
