2014 IEEE International Advance Computing Conference (IACC) 2014
DOI: 10.1109/iadcc.2014.6779374
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A frequent term based text clustering approach using novel similarity measure

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Cited by 13 publications
(5 citation statements)
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“…Text Clustering Document clustering is considered as a fundamental operation utilized in the automatic topic extraction, organization of unsupervised document with information retrieval. Text clustering is an unsupervised process forming its basis solely on finding the similarity relationship between documents with the output as a set of clusters [12]. Frequent Term Based Text Clustering proposed by Beil et al [13] is desired to solve the problems of applying conventional clustering methods on text datasets, such as not suitable for high dimensionality and large size of database, not be able to give cluster descriptions.…”
Section: Enhance the Results Using Text Clusteringmentioning
confidence: 99%
“…Text Clustering Document clustering is considered as a fundamental operation utilized in the automatic topic extraction, organization of unsupervised document with information retrieval. Text clustering is an unsupervised process forming its basis solely on finding the similarity relationship between documents with the output as a set of clusters [12]. Frequent Term Based Text Clustering proposed by Beil et al [13] is desired to solve the problems of applying conventional clustering methods on text datasets, such as not suitable for high dimensionality and large size of database, not be able to give cluster descriptions.…”
Section: Enhance the Results Using Text Clusteringmentioning
confidence: 99%
“…Document clustering is an unsupervised learning process that separates documents into significant groups. It's one of the main techniques of text mining [11]. Document clustering is to designate a corpus of content documents into distinctive bunches so that documents within the same gather depict the same subject.…”
Section: B Text Clusteringmentioning
confidence: 99%
“…We distinguish four steps within the process of text clustering: the collection of data, the preprocessing at that point, the clustering and the post processing of the clusters. Initially, documents are collected and put away, and it is basic to preprocess all these documents to dispose of the commotion [11] before clustering these documents.…”
Section: B Text Clusteringmentioning
confidence: 99%
“…A frequent term based text clustering approach using novel similarity measure is presented by Reddy et al, 2014 [9], introduced a measure to determine the common features between two text files which is used as a similarity measure.…”
Section: Related Workmentioning
confidence: 99%