scholarly journals Study on the Data Mining Algorithm Based on Positive and Negative Association Rules

2009 ◽  
Vol 2 (2) ◽  
Author(s):  
Jingrong Yang ◽  
Chunyu Zhao
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Negative Association ◽  
Data Mining Algorithm ◽  
Mining Algorithm ◽  
Negative Association Rules

A Study of Negative Association Rules Mining Algorithm Based on Multi-Database

2013 ◽  
Vol 756-759 ◽  
pp. 3435-3439
Author(s):  
Xu Shan Peng ◽  
Ping Cheng ◽  
Mo Gei Wang
Keyword(s):  
Decision Making ◽  
Association Rules ◽  
Mutual Exclusion ◽  
Negative Association ◽  
Database Mining ◽  
Technology Research ◽  
Association Rules Mining ◽  
Mining Algorithm ◽  
Database Technology ◽  
Negative Association Rules

the mutual exclusion relationships among data items are reflected by negative association rules, whitch is very important on the decision-making analysis. In the last several years, negative association rules are frequently researched, while the study object of it is single mining of database now. With the development of database technology, multi-database mining is more and more important. On the basis of analyzing the related technology, research status and shortage of present negative association rules mining , the selecting rules, weighted synthesis and algorithm are discussed on multi-datobase.

Study on Multidimensional Negative Association Rules

2014 ◽  
Vol 644-650 ◽  
pp. 1721-1724
Author(s):  
He Jiang ◽  
Ai Xin Yang ◽  
Hong Jun Yu
Keyword(s):  
Association Rules ◽  
Algorithm Design ◽  
Negative Association ◽  
Technology Research ◽  
Design Problems ◽  
Mining Technology ◽  
Association Rules Mining ◽  
Mining Algorithm ◽  
Negative Association Rules ◽  
Transaction Database

With the deepening of the negative association rules mining technology research, many key problems have been solved, but the solution of these problems are all on a single predicate in the transaction database. However, the data in the database often involves multiple predicates. This paper focuses on solving multi-dimensional support and confidence, negative association rules mining algorithm design problems. The experiment proves that the algorithm is correct and efficiency.

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