7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2014★ 7 cited
A new keyphrases extraction method based on suffix tree data structure for arabic documents clustering
Issam Sahmoudi, Hanane Froud, Abdelmonaime Lachkar
Document Clustering is a branch of a larger area of scientific study known as data mining .which is an unsupervised classification using to find a structure in a collection of unla…
cs.IR2013★ 1 cited
Arabic text summarization based on latent semantic analysis to enhance arabic documents clustering
Hanane Froud, Abdelmonaime Lachkar, Said Alaoui Ouatik
Arabic Documents Clustering is an important task for obtaining good results with the traditional Information Retrieval (IR) systems especially with the rapid growth of the number o…