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Natural language processing (NLP) is a branch of artificial
intelligence that has emerged as a prevalent method of practice for
a sizeable amount of companies. NLP enables software to understand
human language and process complex data that is generated within
businesses. In a competitive market, leading organizations are
showing an increased interest in implementing this technology to
improve user experience and establish smarter decision-making
methods. Research on the application of intelligent analytics is
crucial for professionals and companies who wish to gain an edge on
the opposition. The Handbook of Research on Natural Language
Processing and Smart Service Systems is a collection of innovative
research on the integration and development of intelligent software
tools and their various applications within professional
environments. While highlighting topics including discourse
analysis, information retrieval, and advanced dialog systems, this
book is ideally designed for developers, practitioners,
researchers, managers, engineers, academicians, business
professionals, scholars, policymakers, and students seeking current
research on the improvement of competitive practices through the
use of NLP and smart service systems.
Building accurate algorithms for the optimization of picking orders
is a difficult task, especially when one considers the delays of
real-world situations. In warehouse environments, diverse
algorithms must be developed to enhance the global performance
relating to combining customer orders into picking orders to reduce
wait times. The Handbook of Research on Metaheuristics for Order
Picking Optimization in Warehouses to Smart Cities is a pivotal
reference source that addresses strategies for developing able
algorithms in order to build better picking orders and the impact
of these strategies on the picking systems in which diverse
algorithms are implemented. While highlighting topics such ABC
optimization, environmental intelligence, and order batching, this
publication examines common picking aspects in warehouse
environments ranging from manual order picking systems to automated
retrieval systems. This book is intended for researchers, teachers,
engineers, managers, and practitioners seeking research on
algorithms to enhance the order picking performance.
Corporate success has been changed by the importance of new
developments in Business Analytics (BA) and furthermore by the
support of computational intelligence- based techniques. This book
opens a new avenues in these subjects, identifies key developments
and opportunities. The book will be of interest for students,
researchers and professionals to identify innovative ways delivered
by Business Analytics based on computational intelligence
solutions. They help elicit information, handle knowledge and
support decision-making for more informed and reliable decisions
even under high uncertainty environments.Computational Intelligence
for Business Analytics has collected the latest technological
innovations in the field of BA to improve business models related
to Group Decision-Making, Forecasting, Risk Management, Knowledge
Discovery, Data Breach Detection, Social Well-Being, among other
key topics related to this field.
Corporate success has been changed by the importance of new
developments in Business Analytics (BA) and furthermore by the
support of computational intelligence- based techniques. This book
opens a new avenues in these subjects, identifies key developments
and opportunities. The book will be of interest for students,
researchers and professionals to identify innovative ways delivered
by Business Analytics based on computational intelligence
solutions. They help elicit information, handle knowledge and
support decision-making for more informed and reliable decisions
even under high uncertainty environments.Computational Intelligence
for Business Analytics has collected the latest technological
innovations in the field of BA to improve business models related
to Group Decision-Making, Forecasting, Risk Management, Knowledge
Discovery, Data Breach Detection, Social Well-Being, among other
key topics related to this field.
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