The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-501
Full Name: Anas Dahabiah
Position: Researcher
Age: ON
Sex: Male
Address: Dahabiah, 227, Rue Jean Jaurès, 29200, Brest, France
Country: FRANCE
Tel: 0033625563984
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E-mail address: dahabiah@hotmail.com
Other E-mails: anas.dahabiah@telecom-bretagne.eu
Title of the Paper: Towards a Possibilistic Processing of Missing Values Under Complex
Authors as they appear in the Paper: Anas DAHABIAH, John PUENTES, and Basel SOLAIMAN
Email addresses of all the authors: dahabiah@hotmail.com, anas.dahabiah@telecom-bretagne.eu
Number of paper pages: 11
Abstract: To estimate the missing values of an attribute in the records of a dataset, all the information provided by the other attributes and the knowledge databases must be considered. However, the information elements could be imperfect (imprecise, possibilistic, probabilistic, etc.) and could have different measuring scales (quantitative, qualitative, ordinal, etc.) at the same time. Furthermore, the relationships and the correlation between the considered attribute and the others should also be pondered. Unlike the prior works that have separately processed these issues using complex and conditional techniques, our approach, essentially based on the tools provided by the possibility theory, can easily handle these aspects within a unified, robust, and simple frameworks. Several numeric examples and applications have been given to simply illustrate the main steps of our method, and some promising perspectives have been proposed at the end of this paper.
Keywords: Possibility Theory, Missing Data, Information Imperfection (Uncertainty and Ambiguity), Data Mining.
EXTENSION of the file: .pdf
Special (Invited) Session: Possibilistic Missing Data Estimation
Organizer of the Session: 640-553
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