Results 1 to 10 of about 2,974 (234)

Numerical Association Rule Mining from a Defined Schema Using the VMO Algorithm [PDF]

Applied Sciences, 2021
Association rule mining has been studied from various perspectives, all of which have made valuable contributions to data science. However, there are promising research lines, such as the inclusion of continuous variables and the combination of numerical
Iván Fredy Jaramillo, Javier Garzás, Andrés Redchuk   +2 more
doaj   +3 more sources

A variable-length multi-objective harmony search algorithm for numerical association rule mining

Journal of King Saud University: Computer and Information Sciences
Association rule extraction is a critical research domain in data mining. However, discovering generalizable and positively correlated association rules from numerical datasets via metaheuristic algorithms remains a significant challenge.
Zhixia Gu, Wen Shi, Jingyu Zhang, Guoxia Li, Yueyue Li, Zihan Kou   +5 more
doaj   +2 more sources

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining

IEEE Access
Numerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik, Rahul Sharma, Pilleriin Koiva, Iztok Fister, Dirk Draheim   +4 more
doaj   +2 more sources

Toward Explainable Time-Series Numerical Association Rule Mining: A Case Study in Smart-Agriculture

Mathematics
This paper defines time-series numerical association rule mining in smart-agriculture applications from an explainable-AI perspective. Two novel explainable methods are presented, along with a newly developed algorithm for time-series numerical ...
Iztok Fister, Sancho Salcedo-Sanz, Enrique Alexandre-Cortizo, Damijan Novak, Iztok Fister, Vili Podgorelec, Mario Gorenjak   +6 more
doaj   +2 more sources

The Rule Extraction of Numerical Association Rule Mining Using Hybrid Evolutionary Algorithm

Proceeding of the Electrical Engineering Computer Science and Informatics, 2017
The topic of Particle Swarm Optimization (PSO) has recently gained popularity. Researchers has used it to solve difficulties related to job scheduling, evaluation of stock markets and association rule mining optimization. However, the PSO method often encounters the problem of getting trapped in the local optimum.
Imam Tahyudin, Hidetaka Nambo
  +6 more sources

Mining optimized association rules for numeric attributes [PDF]

Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fukuda, Takeshi, Morimoto, Yasuhiko, Morishita, Shinichi, Tokuyama, Takeshi   +3 more
openaire   +2 more sources

Variable-length Differential Evolution for Numerical and Discrete Association Rule Mining

IEEE Access, 2023
Abstract This paper proposes a variable-length Differential Evolution for Association Rule Mining. The proposed algorithm includes a novel representation of individuals, which can encode both numerical and discrete attributes in their original or absolute complement of the original intervals. The fitness function used is comprised of a weighted
Uroš Mlakar, Iztok Fister, Iztok Fister
openaire   +3 more sources

Parallel Independent Probability Fully Weighted Association Rule Mining Algorithm

Journal of Harbin University of Science and Technology, 2023
Association rule mining is mainly used to discover knowledge hidden in the data. Weighted association rule mining can mine rules with different importance of the project more effectively.
LI Cheng yan, LI Xin yu, ZHANG Lei, WANG Guang ze   +3 more
doaj   +1 more source

Mining Temporal Association Rules with Temporal Soft Sets

Journal of Mathematics, 2021
Traditional association rule extraction may run into some difficulties due to ignoring the temporal aspect of the collected data. Particularly, it happens in many cases that some item sets are frequent during specific time periods, although they are not ...
Xiaoyan Liu, Feng Feng, Qian Wang, Ronald R. Yager, Hamido Fujita, José Carlos R. Alcantud   +5 more
doaj   +1 more source

Geochemical Association Rules of Elements Mined Using Clustered Events of Spatial Autocorrelation: A Case Study in the Chahanwusu River Area, Qinghai Province, China

Applied Sciences, 2022
The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial ...
Baoyi Zhang, Zhengwen Jiang, Yiru Chen, Nanwei Cheng, Umair Khan, Jiqiu Deng   +5 more
doaj   +1 more source