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Asma Ammar
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2010 – 2019
- 2017
- [c13]Asma Ammar, Zied Elouedi:
From Crisp to Soft Possibilistic and Rough Meta-clustering of Retail Datasets. ISDA 2017: 485-495 - [c12]Asma Ammar, Zied Elouedi:
Selection of Initial Modes for Rough Possibilistic K-Modes Methods. ISMIS 2017: 77-86 - 2016
- [j3]Asma Ammar, Zied Elouedi, Pawan Lingras:
Meta-clustering of possibilistically segmented retail datasets. Fuzzy Sets Syst. 286: 173-196 (2016) - 2015
- [j2]Asma Ammar, Zied Elouedi, Pawan Lingras:
Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories. Int. J. Intell. Syst. 30(6): 676-706 (2015) - 2014
- [j1]Pawan Lingras, Ahmed Elagamy, Asma Ammar, Zied Elouedi:
Iterative meta-clustering through granular hierarchy of supermarket customers and products. Inf. Sci. 257: 14-31 (2014) - [c11]Asma Ammar, Zied Elouedi, Pawan Lingras:
Rough possibilistic meta-clustering of retail datasets. DSAA 2014: 177-183 - [c10]Asma Ammar, Zied Elouedi, Pawan Lingras:
Decremental Rough Possibilistic K-Modes. ICAIS 2014: 50-59 - [c9]Asma Ammar, Zied Elouedi, Pawan Lingras:
Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes. RSKT 2014: 753-764 - 2013
- [c8]Asma Ammar, Zied Elouedi, Pawan Lingras:
The K-Modes Method under Possibilistic Framework. Canadian AI 2013: 211-217 - [c7]Asma Ammar, Zied Elouedi, Pawan Lingras:
The k-modes method using possibility and rough set theories. IFSA/NAFIPS 2013: 1297-1302 - [c6]Asma Ammar, Zied Elouedi, Pawan Lingras:
Incremental Rough Possibilistic K-Modes. MIWAI 2013: 13-24 - [c5]Asma Ammar, Zied Elouedi, Pawan Lingras:
Incremental Possibilistic K-Modes. RSFDGrC 2013: 293-303 - [c4]Asma Ammar, Zied Elouedi, Pawan Lingras:
Decremental Possibilistic K-Modes. SCAI 2013: 15-24 - 2012
- [c3]Asma Ammar, Zied Elouedi, Pawan Lingras:
K-Modes Clustering Using Possibilistic Membership. IPMU (3) 2012: 596-605 - [c2]Asma Ammar, Zied Elouedi, Pawan Lingras:
RPKM: The Rough Possibilistic K-Modes. ISMIS 2012: 81-86 - 2011
- [c1]Asma Ammar, Zied Elouedi:
A New Possibilistic Clustering Method: The Possibilistic K-Modes. AI*IA 2011: 413-419
Coauthor Index
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