Asma Ammar

According to our database1, Asma Ammar authored at least 16 papers between 2011 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2017
Selection of Initial Modes for Rough Possibilistic K-Modes Methods.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

From Crisp to Soft Possibilistic and Rough Meta-clustering of Retail Datasets.
Proceedings of the Intelligent Systems Design and Applications, 2017

2016
Meta-clustering of possibilistically segmented retail datasets.
Fuzzy Sets Syst., 2016

2015
Semantically Segmented Clustering Based on Possibilistic and Rough Set Theories.
Int. J. Intell. Syst., 2015

2014
Iterative meta-clustering through granular hierarchy of supermarket customers and products.
Inf. Sci., 2014

Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Decremental Rough Possibilistic K-Modes.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014

Rough possibilistic meta-clustering of retail datasets.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013
Decremental Possibilistic K-Modes.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Incremental Possibilistic K-Modes.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Incremental Rough Possibilistic K-Modes.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

The k-modes method using possibility and rough set theories.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

The K-Modes Method under Possibilistic Framework.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
RPKM: The Rough Possibilistic K-Modes.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

K-Modes Clustering Using Possibilistic Membership.
Proceedings of the Advances in Computational Intelligence, 2012

2011
A New Possibilistic Clustering Method: The Possibilistic K-Modes.
Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011


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