Add to ORKGAbstract—Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries have been proposed to collect candidate and frequent itemsets. It seems as the tree structure is most extractive to storing itemsets. The outstanding tree has been proposed so far is called FP-tree which is a prefix-tree structure. In this paper, MFP-tree data structure is introduced. It is a modification of FP-tree. A CP-mine algorithm is also proposed in order to mine frequent itemsets from the MFP-tree by using pruning tree and a marked value technique. We have conducted several experiments based on both synthetic and real world datasets with different...
We propose a novel frequent-pattern tree (FP-tree) structure; our performance study shows that the F...
With the large amount of data collected in various applications, data mining has become an essential...
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push...
There are lots of data mining tasks such as association rule, clustering, classification, regression...
Frequent itemset mining is an important problem in the data mining area with a wide range of applica...
An interesting method to frequent pattern mining without generating candidate pattern is called freq...
Abstract. Mining frequent patterns in transaction databases, time-series databases, and many other k...
Rare Association rule is an association rule consisting of rare items. Frequent Pattern (FP)-growth ...
Efficient algorithms for mining frequent itemsets are crucial for mining association rules and for o...
Mining frequent patterns in large transactional databases is a highly researched area in the field o...
AbstractData mining is used to deal with the huge size of the data stored in the database to extract...
Frequent pattern mining is one of the active research themes in data mining. It plays an important r...
In this paper, we propose a new method for mining maximal frequent itemsets. Our method introduces a...
Frequent itemset mining is a fundamental problem in data mining area because frequent itemsets have ...
Efficient discovery of frequent itemsets in large datasets is a key component of many data mining ta...
We propose a novel frequent-pattern tree (FP-tree) structure; our performance study shows that the F...
With the large amount of data collected in various applications, data mining has become an essential...
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push...
There are lots of data mining tasks such as association rule, clustering, classification, regression...
Frequent itemset mining is an important problem in the data mining area with a wide range of applica...
An interesting method to frequent pattern mining without generating candidate pattern is called freq...
Abstract. Mining frequent patterns in transaction databases, time-series databases, and many other k...
Rare Association rule is an association rule consisting of rare items. Frequent Pattern (FP)-growth ...
Efficient algorithms for mining frequent itemsets are crucial for mining association rules and for o...
Mining frequent patterns in large transactional databases is a highly researched area in the field o...
AbstractData mining is used to deal with the huge size of the data stored in the database to extract...
Frequent pattern mining is one of the active research themes in data mining. It plays an important r...
In this paper, we propose a new method for mining maximal frequent itemsets. Our method introduces a...
Frequent itemset mining is a fundamental problem in data mining area because frequent itemsets have ...
Efficient discovery of frequent itemsets in large datasets is a key component of many data mining ta...
We propose a novel frequent-pattern tree (FP-tree) structure; our performance study shows that the F...
With the large amount of data collected in various applications, data mining has become an essential...
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push...