Results 1 to 10 of about 89,998 (265)

Fuzzy Association Rule Mining for Personalized Chinese Language and Literature Teaching from Higher Education

International Journal of Computational Intelligence Systems
Due to rapid information technology growth, teaching Chinese in higher education has changed, and Chinese literary majors have vigorously evolved.
Fei Teng
doaj   +1 more source

PyAerial: Scalable association rule mining from tabular data

SoftwareX
Association Rule Mining (ARM) is a knowledge discovery technique that identifies frequent patterns as logical implications within transaction datasets and has been applied across domains such as e-commerce, healthcare, and cyber–physical systems. However,
Erkan Karabulut, Paul Groth, Victoria Degeler   +2 more
doaj   +1 more source

Research on log text fault association rule mining based on GPT network

Dianxin kexue
Log anomaly detection and fault association rule mining are critical components in modern system operation and maintenance, as well as fault diagnosis, playing a significant role in enhancing system reliability and reducing operational costs.
LI Bing, YE Qingwei, WANG Yuxi, HE Zhenqin, WANG Xiaodong   +4 more
doaj  

A Recommendation System for Trigger–Action Programming Rules via Graph Contrastive Learning

Sensors
Trigger–action programming (TAP) enables users to automate Internet of Things (IoT) devices by creating rules such as “IF Device1.TriggerState is triggered, THEN Device2.ActionState is executed”.
Zhejun Kuang, Xingbo Xiong, Gang Wu, Feng Wang, Jian Zhao, Dawen Sun   +5 more
doaj   +1 more source

Algorithms for association rule learning

, 2017
Zanimanje za metode odkrivanja znanja v podatkovnih bazah nenehno raste. Sodobne podatkovne baze so zelo velike, dosegajo terabajte in težijo k nadaljnemu povečanju, kar zahteva učinkovite, razširljive algoritme, ki lahko rešujejo težavo obdelave podatkov v razumnem roku.
openaire   +1 more source

AE SemRL: Learning Semantic Association Rules with Autoencoders

Association Rule Mining (ARM) is the task of learning associations among data features in the form of logical rules. Mining association rules from high-dimensional numerical data, for example, time series data from a large number of sensors in a smart environment, is a computationally intensive task.
Karabulut, Erkan, Degeler, Victoria, Groth, Paul   +2 more
openaire   +2 more sources

A New Approach of Multi-robot Cooperative Pursuit Based on Association Rule Data Mining

International Journal of Advanced Robotic Systems, 2010
An approach of cooperative hunting for multiple mobile targets by multi-robot is presented, which divides the pursuit process into forming the pursuit teams and capturing the targets.
Jun Li, Qishu Pan, Bingrong Hong
doaj  

Uncovering Hospitalists' Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning. [PDF]

Appl Clin Inform, 2015
Martinez DA, Mora E, Gemmani M, Zayas-Castro J.   +3 more
europepmc   +1 more source

Healthcare insurance fraud detection using data mining

BMC Medical Informatics and Decision Making
Background Healthcare programs and insurance initiatives play a crucial role in ensuring that people have access to medical care. There are many benefits of healthcare insurance programs but fraud in healthcare continues to be a significant challenge in ...
Zain Hamid, Fatima Khalique, Saba Mahmood, Ali Daud, Amal Bukhari, Bader Alshemaimri   +5 more
doaj   +1 more source

Improving road safety in smart cities using machine learning techniques. [PDF]

Sci Rep
Abid MS, Hussain M, Nabi S, Sehar T, Hussain D, Gu YH.   +5 more
europepmc   +1 more source