February 2005
Beginner to intermediate
540 pages
14h 9m
English
Content preview from Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
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Chapter 6 Fuzzy SQL and Intelligent Queries
as the projects table, this is not much of an advantage. However, for very
large data files the ability to screen or filter the outcome of a query based
on our perception of the QCIX ranking gives us a powerful way of handling
data. A filtering based on the semantics of the QCIX becomes even more
important when we consider that record selection is often performed
using an application framework. Encoding our record filtering allows an
automated way of coupling the fuzzy query with a post-selection filtering
mechanism, both of which are predicated on the query compatibility
concept.
6.14 Review
Fuzzy SQL forms one of the core data exploration tools needed by business
analysts and knowledge engineers at the start ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.