Novel Genetic Algorithm for Association Rule Mining with Multi-Objective Extraction for Bakery Database

2018 ◽  
Author(s):  
Tejashri Bari ◽  
Thaksen Parvat ◽  
Rakesh Badodekar
Keyword(s):  
Genetic Algorithm ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Multi Objective

Association Rule Mining for Job Shop Scheduling Problem Based on Genetic Algorithm

2012 ◽  
Vol 629 ◽  
pp. 730-734 ◽  
Author(s):  
Cun Liang Yan ◽  
Wei Feng Shi
Keyword(s):  
Genetic Algorithm ◽  
Association Rule ◽  
Association Rule Mining ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Scheduling Problem ◽  
Job Shop Scheduling Problem ◽  
Rule Mining ◽  
Concept Hierarchy ◽  
Shop Scheduling

Job shop scheduling problem (JSP) is the most typical scheduling problem, In the process of JSP based on genetic algorithm (GA), large amounts of data will be produced. Mining them to find the useful information is necessary. In this paper dividing, hashing and array (DHA) association rule mining algorithm is used to find the frequent itemsets which contained in the process, and extract the corresponding association rules. Concept hierarchy is used to interpret the rules, and lots of useful rules appeared. It provides a new way for JSP study.

Two-level parallel CPU/GPU-based genetic algorithm for association rule mining

2020 ◽  
Vol 22 (2/3) ◽  
pp. 335
Author(s):  
Leila Hamdad ◽  
Zakaria Ournani ◽  
Karima Benatchba ◽  
Ahcène Bendjoudi
Keyword(s):  
Genetic Algorithm ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining
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