£124.64

Springer ICDSM 2018 - Decision Science and Management Book

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Description

Explore the intersection of computer science, IT, and management with this academic collection from Springer. This volume, part of the Advances in Intelligent Systems and Computing series (1030), presents a selection of the best papers from the International Conference on Decision Science and Management (ICDSM 2018). Readers will find detailed studies on how computing techniques, such as machine learning, can be used to extract meaningful insights from large datasets. The content covers essential topics including decision-making processes for cross-platforms with heterogeneous data and complex assets. Additionally, the book examines leadership and team coordination within modern organizational structures. This text is designed to demonstrate the practical advantages of applying decision sciences to management-oriented problems. It serves as a valuable resource for professionals and researchers looking to understand how advanced computational methods can improve organizational outcomes and solve complex business challenges.

Key Features

Explores emerging research in decision sciences and management through the lens of computer science and IT.

Provides insight into using machine learning and various computing techniques to process and analyze huge amounts of data.

Covers decision-making strategies for cross-platforms involving heterogeneous data and complex assets.

Includes research on leadership and team coordination to support organizational management.

Demonstrates the specific advantages of applying decision science methodologies to management-oriented problems.

Features a curated selection of the best papers presented at the ICDSM 2018 conference.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 September 2019
Listed Since
30 May 2019

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