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20112014
most citedAn improved semantic similarity measure for document clustering based on topic maps

23 citations · 68 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.IR2014★ 6 cited

Document clustering using graph based document representation with constraints

Muhammad Rafi, Farnaz Amin, Mohammad Shahid Shaikh

Document clustering is an unsupervised approach in which a large collection of documents (corpus) is subdivided into smaller, meaningful, identifiable, and verifiable sub-groups (c…

cs.IR2013★ 23 cited

An improved semantic similarity measure for document clustering based on topic maps

Muhammad Rafi, Mohammad Shahid Shaikh

A major computational burden, while performing document clustering, is the calculation of similarity measure between a pair of documents. Similarity measure is a function that assi…

cs.IR2013★ 14 cited

A comparison of SVM and RVM for Document Classification

Muhammad Rafi, Mohammad Shahid Shaikh

Document classification is a task of assigning a new unclassified document to one of the predefined set of classes. The content based document classification uses the content of th…

cs.IR2012★ 15 cited

Content-based Text Categorization using Wikitology

Muhammad Rafi, Sundus Hassan, Mohammad Shahid Shaikh

A major computational burden, while performing document clustering, is the calculation of similarity measure between a pair of documents. Similarity measure is a function that assi…

cs.IR2011★ 10 cited

Document Clustering based on Topic Maps

Muhammad Rafi, M. Shahid Shaikh, Amir Farooq

Importance of document clustering is now widely acknowledged by researchers for better management, smart navigation, efficient filtering, and concise summarization of large collect…