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A hybrid feature selection algorithm for web document clustering

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Hassan University
Benghabrit A.; Ouhbi B.; Zemmouri E.M.; Frikh B.; Behja H.
Benghabrit, Asmaa (55933106700); Ouhbi, Brahim (6603412029); Zemmouri, El Moukhtar (36703758100); Frikh, Bouchra (35092386700); Behja, Hicham (36702505500)
55933106700; 6603412029; 36703758100; 35092386700; 36702505500
2014
International Conference on Next Generation Networks and Services, NGNS
A hybrid feature selection algorithm for web document clustering
216
222
IEEE Computer Society
6990255
LM2I Laboratory, ENSAM, MoulayIsmaïl University, Meknès, Morocco; LTTI Laboratory, EST-Fès, Sidi Mohamed Ben Abdellah, Fès, Morocco; Greentic Laobarory, ENSEM, Hassan University, Casablanca, Morocco
Benghabrit A., LM2I Laboratory, ENSAM, MoulayIsmaïl University, Meknès, Morocco; Ouhbi B., LM2I Laboratory, ENSAM, MoulayIsmaïl University, Meknès, Morocco; Zemmouri E.M., LM2I Laboratory, ENSAM, MoulayIsmaïl University, Meknès, Morocco; Frikh B., LTTI Laboratory, EST-Fès, Sidi Mohamed Ben Abdellah, Fès, Morocco; Behja H., Greentic Laobarory, ENSEM, Hassan University, Casablanca, Morocco
2
10.1109/NGNS.2014.6990255
Clustering; Feature selection methods; Performance analysis; Statistical and semantic analysis; Web documents
Cluster analysis; Dimensionality reduction; Feature extraction; Information retrieval; Iterative methods; Next generation networks; Semantic Web; Semantics; Clustering; Feature selection methods; Performance analysis; Semantic analysis; Web document; Clustering algorithms