Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
View through CrossRef
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results. Using ant colony behaviour as a starting point, an optimization of ant colonies (ACO) is developed. The Apriori algorithm creates association rules. Determine the weakest rule set and reduce the association rules to find rules of higher quality than apriori based on the Ant Colony algorithm's threshold value. Through optimization and improvement of rules generated for ACO, the proposed research work aims to reduce the scanning of datasets.
Title: Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Description:
The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm.
Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Using ant colony behaviour as a starting point, an optimization of ant colonies (ACO) is developed.
The Apriori algorithm creates association rules.
Determine the weakest rule set and reduce the association rules to find rules of higher quality than apriori based on the Ant Colony algorithm's threshold value.
Through optimization and improvement of rules generated for ACO, the proposed research work aims to reduce the scanning of datasets.
Related Results
Machine learning algorithms for 5G optical networks
Machine learning algorithms for 5G optical networks
(English) Throughout this thesis we addressed 5G network challenges. The non-coherent optical modulation
tradeoff has been addressed, as we proposed FBMC and artificial intelligen...
Ant-Inspired Metaheuristic Algorithms for Combinatorial Optimization Problems in Water Resources Management
Ant-Inspired Metaheuristic Algorithms for Combinatorial Optimization Problems in Water Resources Management
Ant-inspired metaheuristic algorithms known as ant colony optimization (ACO) offer an approach that has the ability to solve complex problems in both discrete and continuous domain...
A Review of Ant Colony Optimization for Solving 0-1 Knapsack and Traveling Salesman Problems
A Review of Ant Colony Optimization for Solving 0-1 Knapsack and Traveling Salesman Problems
Ant Colony Optimization (ACO) represents a widespread nature-based metaheuristic algorithm which solves combinatorial optimization problems effectively [1]. This research study exa...
PPARγ Attenuates Cellular Senescence of Alveolar Macrophages in Asthma- COPD Overlap
PPARγ Attenuates Cellular Senescence of Alveolar Macrophages in Asthma- COPD Overlap
Abstract
Asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) represents a complex condition characterized by shared clinical and pathophysiological features o...
Image Segmentation Technology Based on Ant Colony Algorithm
Image Segmentation Technology Based on Ant Colony Algorithm
Image segmentation is a key task in computer vision, with applications ranging from medical diagnosis to autonomous driving. The Ant Colony Algorithm (ACO), modeled after ant forag...
Integration of Kalman Filter with Ant Colony Optimization for Solving the Job Shop Scheduling Problem
Integration of Kalman Filter with Ant Colony Optimization for Solving the Job Shop Scheduling Problem
Abstract
In smart manufacturing, the job-shop scheduling problem (JSP) is a major obstacle that must be solved by the best possible sequencing of task operations. Dynamic j...
Computed tomographic attributes in asthma-chronic obstructive pulmonary disease overlap
Computed tomographic attributes in asthma-chronic obstructive pulmonary disease overlap
Abstract
Background
Limited number of studies analyzed imaging features in patients with asthma-COPD overlap (ACO). In patients with ACO, we eval...
An Overview of Ant Colony Optimization Algorithms for Dynamic Optimization Problems
An Overview of Ant Colony Optimization Algorithms for Dynamic Optimization Problems
Swarm intelligence is a relatively recent approach for solving optimization problems that usually adopts the social behavior of birds and animals. The most popular class of swarm i...