Ordering Policy Using Multi-Level Association Rule Mining

2018 ◽  
Vol 11 (4) ◽  
pp. 84-101 ◽  
Author(s):  
Reshu Agarwal ◽  
Sarla Pareek ◽  
Biswajit Sarkar ◽  
Mandeep Mittal
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Order Quantity ◽  
Rule Mining ◽  
Ordering Policy ◽  
Optimum Order ◽  
Frequent Items ◽  
Multi Level ◽  
Real Scenario ◽  
Frequent Item Sets

In this article, an inventory model for a retailer's ordering policy is studied. Multi-level association rule mining is used to find frequent item-sets at each level by applying different threshold at different levels. During order quantity estimation, category, content, and brand of the items are considered, which leads to the discovery of more specific and concrete knowledge of the required order quantity. At each level, optimum order quantity of frequent items is determined. This assists inventory manager to order optimal quantity of items as per the actual requirement of the item with respect to their category, content and brand. An example is devised to explain the new approach. Further, to understand the effect of above approach in the real scenario, experiments are conducted on the exiting dataset.

scholarly journals Design of Multi-level Teaching System Based on Association Rule Mining

2016 ◽  
Vol 11 (11) ◽  
pp. 43 ◽  
Author(s):  
Hong-yan He ◽  
Hui-ping, Zhang ◽  
Hong-fang Luo
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Learning Ability ◽  
Data Mining Algorithm ◽  
Rule Mining ◽  
Teaching System ◽  
System A ◽  
Overall Performance ◽  
Multi Level ◽  
Different Parts

In order to improve the overall performance for the multi-level teaching system, a system with Multi-strata teaching is designed. It divides the whole class into smaller parts based on their knowledge level and learning ability and teach students in accordance with their aptitude. The system used the model of C/S, and applies ASP in the interactive user interface. The data mining algorithm is also presented in the study. The system was tested with practical data. The results show that with the teaching system teachers can separate students into different parts and get a very good idea about how much students can learn.

scholarly journals Cross-Ontology Multi-level Association Rule Mining in the Gene Ontology

PLoS ONE ◽  
2012 ◽  
Vol 7 (10) ◽  
pp. e47411 ◽  
Author(s):  
Prashanti Manda ◽  
Seval Ozkan ◽  
Hui Wang ◽  
Fiona McCarthy ◽  
Susan M. Bridges
Keyword(s):  
Gene Ontology ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Multi Level
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