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With the advent of the big data era, data mining technology has gradually become mature, association rules analysis is also applied in many fields. Web log mining is an important way to do some personalized services and achieve Web personalize. Apriori algorithm is a classical algorithm of association rules, but it has a lot of shortcomings. In recent years, the improvement about Apriori algorithm...
With the development of social economy and the improvement of cultural and educational level, the enrollment of all the major colleges and universities in our country has been expanding constantly. The arrangement of courses of the school has become more and more complicated. It has become a common phenomenon that students of colleges and universities select courses by online course selection system...
Mining high utility item sets is one of the most important research issues in data mining owing to its ability to consider nonbinary frequency values of items in transactions and different profit values for each item. Although several studies have been carried out, current methods present the mined results in the form of textual lists for users, which degrades the understand ability of the discovered...
The application of association rule mining to classification has led to a new family of classifiers which are often referred to as Associative Classifiers (ACs). An advantage of ACs is that they are rule-based and thus lend themselves to an easier interpretation. However, it is common knowledge that association rule mining typically yields a sheer number of rules defeating the purpose of a human readable...
It is well-recognized that the main factor that hinders the applications of association rules (ARs) is the huge number of ARs returned by the mining process. To solve this problem, an algorithm for mining concise association rules based on generators and closed itemsets is proposed. Firstly, the concept of concise association rule is proposed, and the rationality of the definition is explained based...
The application of association rule mining to classification has led to a new family of classifiers which are often referred to as associative classifiers (ACs). An advantage of ACs is that they are rule-based and thus lend themselves to an easier interpretation. However, it is common knowledge that association rule mining typically yields a sheer number of rules defeating the purpose of a human readable...
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