A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities

D Levshun, I Kotenko - Artificial Intelligence Review, 2023 - Springer
Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

Artificial intelligence techniques in human resource management—a conceptual exploration

S Strohmeier, F Piazza - Intelligent Techniques in Engineering …, 2015 - Springer
Abstract Artificial Intelligence Techniques and its subset, Computational Intelligence
Techniques, are not new to Human Resource Management, and since their introduction, a …

Privacy and artificial intelligence

J Curzon, TA Kosa, R Akalu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Artificial intelligence is a rapidly developing field of research with many practical
applications. Congruent to advances in technologies that enable big data, deep learning …

[HTML][HTML] A distributed clinical decision support system architecture

SH El-Sappagh, S El-Masri - Journal of King Saud University-Computer …, 2014 - Elsevier
This paper proposes an open and distributed clinical decision support system architecture.
This technical architecture takes advantage of Electronic Health Record (EHR), data mining …

Rough set based lattice structure for knowledge representation in medical expert systems: Low back pain management case study

D Santra, SK Basu, JK Mandal, S Goswami - Expert Systems with …, 2020 - Elsevier
The aim of medical knowledge representation is to capture detailed domain knowledge in a
clinically efficient manner, and to offer reliable resolution with the acquired knowledge. The …

Supporting Meteorologists in Data Analysis through Knowledge-Based Recommendations

T Reis, T Funke, S Bruchhaus, F Freund… - Big Data and Cognitive …, 2022 - mdpi.com
Climate change means coping directly or indirectly with extreme weather conditions for
everybody. Therefore, analyzing meteorological data to create precise models is gaining …

Hybrid systems for knowledge representation in artificial intelligence

TV Prasad - arXiv preprint arXiv:1211.2736, 2012 - arxiv.org
There are few knowledge representation (KR) techniques available for efficiently
representing knowledge. However, with the increase in complexity, better methods are …

Concept for an integrated product and process development of electric drives using a knowledge-based system

A Mayr, A Meyer, P Gönnheimer… - 2017 7th …, 2017 - ieeexplore.ieee.org
The development and production of electric drives as mechatronic products involve several
engineering domains. With increasing complexity of the individual parts, frequently shifting …

Yes, AI can: The artificial intelligence gold rush between optimistic HR software providers, skeptical HR managers, and corporate ethical virtues

M Groß - AI for the Good: Artificial Intelligence and Ethics, 2021 - Springer
Artificial intelligence (AI) is THE future topic for companies. While corporate departments
such as marketing, controlling, or logistics already use AI applications as a matter of course …

[PDF][PDF] Selecting integrated approach for knowledge representation by comparative study of knowledge representation schemes

P Kesarwani, A Misra - International Journal of Scientific and Research …, 2013 - Citeseer
In Artificial Intelligence, knowledge representation is a combination of data structures and
interpretive procedures that leads to knowledgeable behavior. Therefore, it is required to …