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pro vyhledávání: '"Bashon, Yasmina M."'
Real-world data collections are often heterogeneous (represented by a set of mixed attributes data types: numerical, categorical and fuzzy); since most available similarity measures can only be applied to one type of data, it becomes essential to con
Externí odkaz:
http://hdl.handle.net/10454/9625
Autor:
Bashon, Yasmina M.
This thesis makes an original contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applicat
Externí odkaz:
http://hdl.handle.net/10454/6305