2010
DOI: 10.1016/j.ipm.2009.09.009
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Mining fuzzy frequent itemsets for hierarchical document clustering

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Cited by 58 publications
(29 citation statements)
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“…One of methods that functions to organize document collection is document clustering hierarchically. Document clustering into structure of tree hierarchically is able to increase efficiency of IR [2][3][4]. However, there are some challenges in hierarchy document clustering, namely; high dimensionality, scalability, accuracy, easy of browsing and meaningful cluster label [2][3][4][5].…”
Section: Saiful Bahri Musah Et Al Document Clustering By Dynamic Hmentioning
confidence: 99%
See 2 more Smart Citations
“…One of methods that functions to organize document collection is document clustering hierarchically. Document clustering into structure of tree hierarchically is able to increase efficiency of IR [2][3][4]. However, there are some challenges in hierarchy document clustering, namely; high dimensionality, scalability, accuracy, easy of browsing and meaningful cluster label [2][3][4][5].…”
Section: Saiful Bahri Musah Et Al Document Clustering By Dynamic Hmentioning
confidence: 99%
“…Some researchers [2][3][4]6] use frequent itemset from association rule for document management. The method is able to solve the problem like reduction of dimension, input of cluster amount and the ease of seeking by meaningful label.…”
Section: Saiful Bahri Musah Et Al Document Clustering By Dynamic Hmentioning
confidence: 99%
See 1 more Smart Citation
“…In [27] C C Ling et al proposed an efficient HAC algorithm based on fuzzy frequent item sets which uses fuzzy association rule mining to discover fuzzy frequent item sets to improve clustering quality of FIHC. In the proposed work clustering proceeds in three phases.…”
Section: Frequent Itemset Based Clustering Techniquesmentioning
confidence: 99%
“…Fuzzy Frequent Itemset-Based Hierarchical Clustering (F 2 IHC) approach, which uses fuzzy association rule mining algorithm to improve the clustering accuracy of Frequent Itemset-Based Hierarchical Clustering (FIHC) method, was discussed in [46]. In this approach, the key terms will be extracted from the document set, and each document is pre-processed into the designated representation for the following mining process.…”
Section: Use Of Frequent Patterns For Clusteringmentioning
confidence: 99%