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