Research Paper Report

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:

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:

Department of Guide No. 1 : Information Technology
Name of First Guide : Dr. Prasenjit Bhavathankar

Paper Details:

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