In recent years manufacturing enterprises are increasingly
automated and collect and store large quantities of data relating
to their products and production systems. This electronically
stored data can hold both process measures and hidden information,
which can be very important when discovered. Knowledge discovery in
databases provides the tools to explore historic or current data to
reveal many kinds of previously unknown knowledge from these
databases. Manufacturing enterprises data is complex and may
include information relating to design, process improvement and
limitations, manufacturing machines and tools, and product quality.
This book focuses on issues relating to information extraction from
engineering databases in general and from manufacturing processes
in particular using their historical databases. It also addresses
the important issue of how the process or the design of the product
can be improved based on such information.
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