A survey of aiops methods for failure management
Modern society is increasingly moving toward complex and distributed computing systems.
The increase in scale and complexity of these systems challenges O&M teams that perform …
The increase in scale and complexity of these systems challenges O&M teams that perform …
An overview of data-driven techniques for IT-service-management
High availability of information technology (IT)-applications and-infrastructure components is
a significant factor for the success of organizations because more and more business …
a significant factor for the success of organizations because more and more business …
Machine learning for discovering missing or wrong protein function annotations: a comparison using updated benchmark datasets
Background A massive amount of proteomic data is generated on a daily basis, nonetheless
annotating all sequences is costly and often unfeasible. As a countermeasure, machine …
annotating all sequences is costly and often unfeasible. As a countermeasure, machine …
A survey of aiops for failure management in the era of large language models
As software systems grow increasingly intricate, Artificial Intelligence for IT Operations
(AIOps) methods have been widely used in software system failure management to ensure …
(AIOps) methods have been widely used in software system failure management to ensure …
Online interactive collaborative filtering using multi-armed bandit with dependent arms
Online interactive recommender systems strive to promptly suggest users appropriate items
(eg, movies and news articles) according to the current context including both user and item …
(eg, movies and news articles) according to the current context including both user and item …
Active learning for hierarchical multi-label classification
Due to technological advances, a massive amount of data is produced daily, presenting
challenges for application areas where data needs to be labelled by a domain specialist or …
challenges for application areas where data needs to be labelled by a domain specialist or …
Multi-label classification based on associations
Associative classification (AC) has been shown to outperform other methods of single-label
classification for over 20 years. In order to create rules that are both more precise and …
classification for over 20 years. In order to create rules that are both more precise and …
Automated IT service desk systems using machine learning techniques
Managing problem tickets is a key issue in any IT service industry. The routing of a problem
ticket to the proper maintenance team is very critical step in any service desk (Helpdesk) …
ticket to the proper maintenance team is very critical step in any service desk (Helpdesk) …
Star: A system for ticket analysis and resolution
In large scale and complex IT service environments, a problematic incident is logged as a
ticket and contains the ticket summary (system status and problem description). The system …
ticket and contains the ticket summary (system status and problem description). The system …
SDHC: Joint semantic-data guided hierarchical classification for fine-grained HRRP target recognition
High-resolution range profile (HRRP) is increasingly employed in radar target recognition
under intricate ground scenarios. Such scenarios demand recognizing the specific type of a …
under intricate ground scenarios. Such scenarios demand recognizing the specific type of a …