As technology becomes increasingly intelligent, various factors
within the field of data science are seeing significant
transformation. Process analysis is one area that is undergoing
substantial development due to the implementation of semantic
reasoning and web technologies. The congruence of these two systems
has created various applications and developments in data
processing and analysis across several professional fields.
Applications and Developments in Semantic Process Mining is an
essential reference source that discusses the improvement of
process mining algorithms through the implementation of semantic
modeling and representation. Featuring research on topics such as
domain ontologies, fuzzy modeling, and information extraction, the
book takes into account the different stages of process mining and
its application in real time and then expounds the classical
process mining techniques to semantical preparation of the
extracted models for further analysis and querying at a more
abstract level. The book provides a wide-ranging idea of the
application and development of semantic process mining that is
expected to be beneficial and used by professionals, software and
data engineers, software developers, IT experts, business owners
and entrepreneurs, and process analysts.
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