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Hanane Froud
Observed names:
H. Froud,
Hanane FROUD,
Hanane FROUD -
Institution:
Sidi Mohamed Ben Abdellah University
Observed institution:
Sidi Mohamed Ben Abdellah University
OpenAlex ID:
A5008682196
Arabic Text Summarization Based on Latent Semantic Analysis to Enhance Arabic Documents Clustering
2013
·
Hanane Froud
, Abdelmonaime Lachkar
, et al.
·
International Journal of Data Mining & Knowledge Management Process
·
53
PDF
Stemming and similarity measures for Arabic Documents Clustering
2010
·
H. Froud
, R. Benslimane
, et al.
·
International Symposium on I/V Communications and Mobile Network (ISIVC)
·
34
A Comparative Study of Root -Based and Stem -Based Approaches for Measuring the Similarity Between Arabic Words for Arabic Text Mining Applications
2012
·
Hanane FROUD
·
Advanced Computing An International Journal
·
31
PDF
Stemming versus Light Stemming for measuring the simitilarity between Arabic Words with Latent Semantic Analysis model
2012
·
Hanane Froud
, Abdelmonaime Lachkar
, et al.
·
IEEE Congress on Information Science and Technology (CiSt)
·
17
Agglomerative Hierarchical Clustering Techniques for Arabic Documents
2013
·
Hanane Froud
, Abdelmonaime Lachkar
·
Advances in intelligent systems and computing
·
9
A New Keyphrases Extraction Method Based on Suffix Tree Data Structure for Arabic Documents Clustering
2013
·
Issam SAHMOUDI
, Hanane FROUD
, et al.
·
International Journal of Database Management Systems
·
7
PDF
An Efficient Approach to Improve Arabic Documents Clustering Based on a new Keyphrases Extraction Algorithm
2013
·
Hanane FROUD
, Issam SAHMOUDI
, et al.
·
7
PDF
Stemming for Arabic words similarity measures based on Latent Semantic Analysis model
2012
·
Hanane Froud
, Abdelmonaime Lachkar
, et al.
·
7
Stemming Versus Light Stemming for Measuring the Similarity between Arabic Words with Latent Semantic Analysis Model
2013
·
Hanane FROUD -
, Abdelmonaime LACHKAR -
, et al.
·
Journal of Convergence Information Technology
·
3
A comparative study of root-based
2012
·
Hanane Froud
, Abdelmounim Lachkar
, et al.
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Works count:
10
Citation count:
168
H-index:
7
I10-index:
4
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