Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".
🔭 I’m a Ph.D. candidate @UC Riverside.
🌱 My research interests include but are not limited to the intersection of natural language processing (NLP) and uncertainty quantification. I'm interested in NLP applications and efficient LLM training & inference with uncertainty-awareness.
How can I get this file or package：logdeep?
I am very interested in your research and trying to reproduce your paper. Can you provide the data set and parameter settings?
Hi @yul091
Thanks for the wonderful paper and code. This question has been asked few times. for dataset.json do we need to manually create it.
I went through the code and created the following format based on logic in "NER.py". Is it correct?
[
{
"logex:example": "1117838570 2005.06.03 R02-M1-N0-C:J12-U11 2005-06-03-15.42.50.363779 R02-M1-N0-C:J12-U11 RAS KERNEL INFO instruction cache parity error corrected",
"logex:hasParameterList": ["R02-M1-N0-C:J12-U11"],
"logex:hasNERtag": ["server"]
},
{
"logex:example": "1118211686 2005.06.07 R22-M0-NB-C:J08-U01 2005-06-07-23.21.26.166009 R22-M0-NB-C:J08-U01 RAS KERNEL INFO generating core.258",
"logex:hasParameterList": ["R22-M0-NB-C:J08-U01"],
"logex:hasNERtag": ["server"]
},
{
"logex:example": "1121408432 2005.07.14 R16-M1-N4-I:J18-U11 2005-07-14-23.20.32.350090 R16-M1-N4-I:J18-U11 RAS APP FATAL ciod: Error creating node map from file /home/pakin1/comms-conc/xyzt-1x1x32768x1.map: Bad address",
"logex:hasParameterList": ["R16-M1-N4-I:J18-U11", "/home/pakin1/comms-conc/xyzt-1x1x32768x1.map"],
"logex:hasNERtag": ["server", "path"]
}
]
If convenient, could you provide the dataset. json file？
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