AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios
Date of Submission
15th Feb 2024
General Information:
|
Year Of Paper Submission : 2023-24 |
Type of Applicant : Student |
Selected Course : UG |
Department of Applicant : IT |
Class of Applicant : B.E. |
Applicants Details:
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UCID of Applicant : 2020400020 |
Applicant Name : Dhruv Khut |
Applicant Email : dhruv.khut@spit.ac.in |
Applicant Contact Number : 9326269415 |
UCID of Applicant No. 2 : 2020400029 |
Applicant No. 2 Name : Sahil Nawale |
Applicant No. 2 Email : sahil.nawale@spit.ac.in |
Applicant No. 2 Contact Number : 7499850363 |
Guide Details:
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Department of Guide No. 1 : Information Technology |
Name of First Guide : Dr. Prasenjit Bhavathankar |
Paper Details:
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Title of Paper : AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios |
Type of Paper : international |
Type of Publication : international |
Name of the Conference/journal/publisher :
Bdkcse |
Date Of Conference / Journal / Book :
2023-11-02 |
Conference_Type : ieee |
Name of the Hosting Institute of the Conference :
John Atanasoff Society of Automatics and Informatics |
Address of Host Institute : Sofia, Bulgaria |
ISBN : 979-8-3503-1324-6 |
Indexed : Scopus |