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Predictive Models for Decision Support in the Covid-19 Crisis, Marques Joao Alexandre Lobo, Gois Francisco Nauber Bernardo, Xavier-Neto Josй


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Цена: 8384.00р.
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При оформлении заказа до: 2025-09-15
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Автор: Marques Joao Alexandre Lobo, Gois Francisco Nauber Bernardo, Xavier-Neto Josй
Название:  Predictive Models for Decision Support in the Covid-19 Crisis
ISBN: 9783030619121
Издательство: Springer
Классификация:







ISBN-10: 3030619125
Обложка/Формат: Paperback
Страницы: 98
Вес: 0.16 кг.
Дата издания: 07.01.2021
Серия: Springerbriefs in applied sciences and technology
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 13 tables, color; 41 illustrations, color; 7 illustrations, black and white; vii, 98 p. 48 illus., 41 illus. in color.
Размер: 23.39 x 15.60 x 0.56 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data.


Mathematical models for decision making with multiple perspectives :

Автор: Gomes, Maria Isabel,
Название: Mathematical models for decision making with multiple perspectives :
ISBN: 0367440741 ISBN-13(EAN): 9780367440749
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered by different books. It is written in a didactic form using examples to help understanding of the proposed methodologies better.

Social Network Analysis in Predictive Policing

Автор: Tayebi
Название: Social Network Analysis in Predictive Policing
ISBN: 3319414917 ISBN-13(EAN): 9783319414911
Издательство: Springer
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Цена: 10760.00 р.
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Описание:

This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
Predictive Data Mining Models

Автор: David L. Olson; Desheng Wu
Название: Predictive Data Mining Models
ISBN: 9811396639 ISBN-13(EAN): 9789811396632
Издательство: Springer
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Цена: 11179.00 р.
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Описание:

This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on prescriptive analytics.
The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic data types. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling. Chapter 5 demonstrates regression tree modeling. Chapter 6 presents autoregressive/integrated/moving average models, as well as GARCH models. Chapter 7 covers the set of data mining tools used in classification, to include special variants support vector machines, random forests, and boosting.
Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.
Predictive Data Mining Models

Автор: Olson David L., Wu Desheng
Название: Predictive Data Mining Models
ISBN: 9811396663 ISBN-13(EAN): 9789811396663
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R`) and WEKA. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling.

Social Network Analysis in Predictive Policing: Concepts, Models and Methods

Автор: Tayebi Mohammad A., Glдsser Uwe
Название: Social Network Analysis in Predictive Policing: Concepts, Models and Methods
ISBN: 331982368X ISBN-13(EAN): 9783319823683
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book focuses on applications of social network analysis in predictive policing. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature.

Predictive Data Mining Models

Автор: Olson David L., Wu Desheng
Название: Predictive Data Mining Models
ISBN: 9811096457 ISBN-13(EAN): 9789811096457
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold.

Learning Data Mining with Python - Second Edition: Use Python to manipulate data and build predictive models

Автор: Layton Robert
Название: Learning Data Mining with Python - Second Edition: Use Python to manipulate data and build predictive models
ISBN: 1787126781 ISBN-13(EAN): 9781787126787
Издательство: Неизвестно
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Цена: 9010.00 р.
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Описание: Delphi Cookbook -Third Edition is a comprehensive recipe-based guide which will help you to develop your skills while working with the real business scenarios from the very beginning. This book teaches you to design and develop cross-platform applications, deploy them on the cloud platform, and leverage the extensive toolkit that Delphi provides.

Dynamic and Seamless Integration of Production, Logistics and Traffic

Автор: Abele
Название: Dynamic and Seamless Integration of Production, Logistics and Traffic
ISBN: 3319410954 ISBN-13(EAN): 9783319410951
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book contributes a basic framework for and specific insights into interdisciplinary connections between production, logistics, and traffic subsystems. The book is divided into two parts, the first of which presents an overview of interdisciplinarity in value-added networks and freight traffic. This includes an introduction to the topic and a description of an integrated framework of production, logistics, and traffic. Furthermore, it describes the barriers and challenges of interdisciplinary decision-making and project management. In turn, the second part presents domain-specific perspectives on interdisciplinary decision support, exploring domain-specific challenges of interdisciplinary interfaces and requirements for management methods and instruments from the standpoint of production management, logistics management, traffic management, and information technologies.

Real-World Decision Support Systems

Автор: Jason Papathanasiou; Nikolaos Ploskas; Isabelle Li
Название: Real-World Decision Support Systems
ISBN: 3319439154 ISBN-13(EAN): 9783319439150
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect.It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike.

Wicked Problems – Social Messes

Автор: Tom Ritchey
Название: Wicked Problems – Social Messes
ISBN: 364227076X ISBN-13(EAN): 9783642270765
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents the history and theory of General Morphological Analysis (GMA) and describes how it is used to develop interactive, non-quantified inference models. It features case studies that illustrate the application of GMA.

Cognition-Driven Decision Support for Business Intelligence

Автор: Li Niu; Jie Lu; Guangquan Zhang
Название: Cognition-Driven Decision Support for Business Intelligence
ISBN: 3642032079 ISBN-13(EAN): 9783642032073
Издательство: Springer
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Цена: 23508.00 р.
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Описание: The cognitive decision support system (DSS) provides excellent insight into the research and development of business intelligence. This volume presents current DDS technologies and the fundamentals that support them, in a systematic way.

Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management: 7th International Conferenc

Автор: Jayawickrama Uchitha, Delias Pavlos, Escobar Marнa Teresa
Название: Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management: 7th International Conferenc
ISBN: 3030739759 ISBN-13(EAN): 9783030739751
Издательство: Springer
Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021. The conference was planned to take place in Loughborough, UK, and changed to an online format due to the COVID-19 pandemic.

The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

The main aim of this year's conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery.

The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems' technologies and methods.


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