The Research on Association Rules Mining Technology in Student Achievement Early Warning

Association rules mining technology is a new data processing technology. Its algorithm and application play a very important role in the library. Obtaining personalized information of readers effectively and automatically is the key to carry out individualized service of university library. By using association rules technology, the library mine transaction data generated in the process of library service. And it also can have an access to various types of readers' information demand model, thus can provide accurate service for readers.

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Study on Multidimensional Negative Association Rules

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.1721 ◽

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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The Research and Application of Association Rules Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.325-326.1623 ◽

2013 ◽

Vol 325-326 ◽

pp. 1623-1627

Author(s):

Shu Juan Zhang ◽

Qing Min Wang

Keyword(s):

Association Rules ◽

Frequent Itemsets ◽

Apriori Algorithm ◽

Storage Space ◽

Mining Technology ◽

Association Rules Mining ◽

Transaction Data ◽

The Matrix ◽

Improved Algorithm

Through the research of the association rules mining technology and Apriori algorithm, the defects are found in Apriori algorithm. In view of the deficiencies, an improved algorithm is proposed. The algorithm scans database only once, and efficiently reduces the I/O time. The matrix of frequent itemsets is used to store and reduce the transaction data, which saves the storage space. By comparison of Apriori algorithm and improved algorithm, the results of experiments show that the efficiency of the improved algorithm is increased. Finally, an application example of the association rules is given. The improved algorithm is introduced to book lending deal. The rules among the book-borrowed are discovered and analyzed.

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