PPQAR: Parallel PSO for Quantitative Association Rule Mining

2018 ◽  
Author(s):  
Danfeng Yan ◽  
Xuan Zhao ◽  
Rongheng Lin ◽  
Demeng Bai
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Quantitative Association Rule

Association Rule and Quantitative Association Rule Mining among Infrequent Items

2010 ◽  
pp. 15-32 ◽  
Author(s):  
Ling Zhou ◽  
Stephen Yau
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Transactional Databases ◽  
Frequent Items ◽  
Increasing Demand ◽  
Quantitative Association Rule

Association rule mining among frequent items has been extensively studied in data mining research. However, in recent years, there is an increasing demand for mining infrequent items (such as rare but expensive items). Since exploring interesting relationships among infrequent items has not been discussed much in the literature, in this chapter, the authors propose two simple, practical and effective schemes to mine association rules among rare items. Their algorithms can also be applied to frequent items with bounded length. Experiments are performed on the well-known IBM synthetic database. The authors’ schemes compare favorably to Apriori and FP-growth under the situation being evaluated. In addition, they explore quantitative association rule mining in transactional databases among infrequent items by associating quantities of items: some interesting examples are drawn to illustrate the significance of such mining.

scholarly journals Machine Learning Based Quantitative Association Rule Mining Method for Evaluating Cellular Network Performance

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 166815-166822
Author(s):  
Guanghui Fan ◽  
Wenjuan Shi ◽  
Liang Guo ◽  
Jun Zeng ◽  
Kaixuan Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Association Rule ◽  
Association Rule Mining ◽  
Cellular Network ◽  
Network Performance ◽  
Mining Method ◽  
Rule Mining ◽  
Quantitative Association Rule
Sign in / Sign up

Export Citation Format

Share Document