About Summarization in Large Fuzzy Databases

Autor: Sougui, Ines Benali, Hidri, Minyar Sassi, Grissa-Touzi, Amel
Rok vydání: 2013
Předmět:
Zdroj: The 5th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), pp. 87-94, 2013
Druh dokumentu: Working Paper
Popis: Moved by the need increased for modeling of the fuzzy data, the success of the systems of exact generation of summary of data, we propose in this paper, a new approach of generation of summary from fuzzy data called Fuzzy-SaintEtiQ. This approach is an extension of the SaintEtiQ model to support the fuzzy data. It presents the following optimizations such as 1) the minimization of the expert risk; 2) the construction of a more detailed and more precise summaries hierarchy, and 3) the co-operation with the user by giving him fuzzy summaries in different hierarchical levels
Databáze: arXiv