Results 41 to 50 of about 662,867 (210)

Applications of Artificial Intelligence in the IoT

Applied Sciences
Internet of Things (IoT) systems face various challenges in real-world applications, including operational, performance and security issues [...]
Ahmad Akbari Azirani, Bijan Raahemi
doaj   +1 more source

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Sensors, 2020
Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory pathway. While the transformation is pivotal for the sparse spike-based representation of odor data,
Anup Vanarse, Josafath Israel Espinosa-Ramos, Adam Osseiran, Alexander Rassau, Nikola Kasabov   +4 more
doaj   +1 more source

Discovering interesting knowledge from a science & technology database with a genetic algorithm [PDF]

, 2004
Data mining consists of extracting interesting knowledge from data. This paper addresses the discovery of knowledge in the form of prediction IF-THEN rules, which are a popular form of knowledge representation in data mining.
Gimenes, Itana M. de S., Romao, Wesley, Freitas, Alex A.   +2 more
core   +1 more source

Ga s rule for knowledge discovery

Applied Artificial Intelligence, 2003
This article presents a new approach for structural rule extraction and knowledge discovery by means of Structural Galois Lattice and genetic algorithms. The approach synthesizes symbolic learning in feature extraction as a pre-processing and a subsymbolic learning as a post-processing for extracting rules.
Binti Abdullah, Nik Nailah, Liquière, Michel, Cerri, Stefano A.   +2 more
openaire   +2 more sources

Visualizing latent domain knowledge [PDF]

, 2001
Knowledge discovery and data mining commonly rely on finding salient patterns of association from a vast amount of data. Traditional citation analysis of scientific literature draws insights from strong citation patterns.
Chen, Chaomei, Kuljis, J, Paul, RJ, Kuljis, Jasna, Paul, Ray J., Chen, C   +5 more
core   +1 more source

Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques

IEEE Access, 2023
The Failure Mode Effect Analysis process (FMEA) is widely used in industry for risk assessment, as it effectively captures and documents domain-specific knowledge. This process is mainly concerned with causal domain knowledge.
Houssam Razouk, Xing Lan Liu, Roman Kern
doaj   +1 more source

Ontology of core data mining entities [PDF]

, 2014
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
core   +1 more source

Mining Semantic Knowledge Graphs to Add Explainability to Black Box Recommender Systems

IEEE Access, 2019
Recommender systems are being increasingly used to predict the preferences of users on online platforms and recommend relevant options that help them cope with information overload.
Mohammed Alshammari, Olfa Nasraoui, Scott Sanders   +2 more
doaj   +1 more source

Marine Natural Products with P-Glycoprotein Inhibitor Properties

Marine Drugs, 2014
P-glycoprotein (P-gp) is a protein belonging to the ATP-binding cassette (ABC) transporters superfamily that has clinical relevance due to its role in drug metabolism and multi-drug resistance (MDR) in several human pathogens and diseases.
Dioxelis Lopez, Sergio Martinez-Luis
doaj   +1 more source

Efficient Mining of Iterative Patterns for Software Specification Discovery

, 2007
10.1145/1281192.1281243Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining460 ...
Lo, D., Siau-cheng Khoo, David Lo, Chao Liu, Khoo, S.-C., LO, David, Liu, C., KHOO, Siau-Cheng, LIU, Chao   +8 more
core   +1 more source