Mining frequent patterns has been studied popularly in data mining research. All of previous studies assume that items in a pattern are unordered. However, the order existing between items must be considered in some applications. In this paper, we first give the formal model of ordered patterns and discuss the problem of mining frequent ordered patterns. Base on our analyses, we present two efficient algorithms for mining frequent ordered patterns. We also present results of applying these algorithms to a synthetic data set, which show the effectiveness of our algorithms.Computer Science, Artificial IntelligenceComputer Science, Information SystemsSCI(E)CPCI-S(ISTP)
Abstract: Data mining discovers hidden pattern in data sets and association between the patterns. In...
Frequent tree patterns have many practical applications in different domains such as XML mining, web...
There have been many studies on efficient discovery of frequent patterns in large databases. The usu...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
International audienceDue to the complexity of the task, partially ordered pattern mining of sequent...
In this Chapter we provide a survey of frequent pattern mining, a fundamental data mining task that ...
International audienceMining frequent simultaneous attribute co-variations in numerical databases is...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
International audienceNowadays, sequence databases are available in several domains with increasing ...
Mining of frequent items from a voluminous storage of data is the most favorite topic over the years...
International audienceNowadays, sequence databases are available in several domains with increasing ...
International audienceNowadays, sequence databases are available in several domains with increasing ...
Data mining, or knowledge discovery in databases, aims at finding useful regularities in large data ...
Abstract: Data mining discovers hidden pattern in data sets and association between the patterns. In...
Frequent tree patterns have many practical applications in different domains such as XML mining, web...
There have been many studies on efficient discovery of frequent patterns in large databases. The usu...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
International audienceDue to the complexity of the task, partially ordered pattern mining of sequent...
In this Chapter we provide a survey of frequent pattern mining, a fundamental data mining task that ...
International audienceMining frequent simultaneous attribute co-variations in numerical databases is...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
In this paper we study the discovery of frequent sequences and we aim at extending the non-derivable...
International audienceNowadays, sequence databases are available in several domains with increasing ...
Mining of frequent items from a voluminous storage of data is the most favorite topic over the years...
International audienceNowadays, sequence databases are available in several domains with increasing ...
International audienceNowadays, sequence databases are available in several domains with increasing ...
Data mining, or knowledge discovery in databases, aims at finding useful regularities in large data ...
Abstract: Data mining discovers hidden pattern in data sets and association between the patterns. In...
Frequent tree patterns have many practical applications in different domains such as XML mining, web...
There have been many studies on efficient discovery of frequent patterns in large databases. The usu...