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Due to the growing use of web applications and communication
devices, the use of data has increased throughout various
industries. It is necessary to develop new techniques for managing
data in order to ensure adequate usage. The Handbook of Research on
Pattern Engineering System Development for Big Data Analytics is a
critical scholarly resource that examines the incorporation of
pattern management in business technologies as well as decision
making and prediction process through the use of data management
and analysis. Featuring coverage on a broad range of topics such as
business intelligence, feature extraction, and data collection,
this publication is geared towards professionals, academicians,
practitioners, and researchers seeking current research on the
development of pattern management systems for business
applications.
Business and medical professionals rely on large data sets to
identify trends or other knowledge that can be gleaned from the
collection of it. New technologies concentrate on data's
management, but do not facilitate users' extraction of meaningful
outcomes. Pattern and Data Analysis in Healthcare Settings
investigates the approaches to shift computing from analysis
on-demand to knowledge on-demand. By providing innovative tactics
to apply data and pattern analysis, these practices are optimized
into pragmatic sources of knowledge for healthcare professionals.
This publication is an exhaustive source for policy makers,
developers, business professionals, healthcare providers, and
graduate students concerned with data retrieval and analysis.
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