Travelled to:
1 × Italy
1 × Spain
1 × Turkey
1 × USA
1 × United Kingdom
2 × Germany
Collaborated with:
W.K.Gad M.Makrehchi M.J.Gangeh R.P.W.Duin N.A.Yousri M.A.Ismail K.M.Hammouda D.N.Matute L.A.Alexandre A.C.Campilho A.I.Adegorite O.A.Basir K.B.Shaban
Talks about:
cluster (4) text (4) use (4) document (2) similar (2) extract (2) semant (2) base (2) arbitrari (1) stopword (1)
Person: Mohamed S. Kamel
DBLP: Kamel:Mohamed_S=
Contributed to:
Wrote 9 papers:
- ICPR-2010-GangehKD #categorisation #random
- Random Subspace Method in Text Categorization (MJG, MSK, RPWD), pp. 2049–2052.
- ICEIS-J-2009-GadK #clustering #performance #semantics #similarity #using
- Enhancing Text Clustering Performance Using Semantic Similarity (WKG, MSK), pp. 325–335.
- MLDM-2009-GadK #clustering #semantics #similarity #using
- New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps (WKG, MSK), pp. 663–677.
- ECIR-2008-MakrehchiK #automation #documentation
- Automatic Extraction of Domain-Specific Stopwords from Labeled Documents (MM, MSK), pp. 222–233.
- ICPR-2008-YousriKI #clustering #novel
- A novel validity measure for clusters of arbitrary shapes and densities (NAY, MSK, MAI), pp. 1–4.
- MLDM-2005-AdegoriteBKS #approach #mining
- An Approach to Mining Picture Objects Based on Textual Cues (AIA, OAB, MSK, KBS), pp. 466–475.
- MLDM-2005-HammoudaMK #clustering #documentation #named
- CorePhrase: Keyphrase Extraction for Document Clustering (KMH, DNM, MSK), pp. 265–274.
- MLDM-2005-MakrehchiK #classification #using
- Text Classification Using Small Number of Features (MM, MSK), pp. 580–589.
- ICPR-v2-2000-AlexandreCK #classification #independence #using
- Combining Independent and Unbiased Classifiers Using Weighted Average (LAA, ACC, MSK), pp. 2495–2498.