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Data, Expert Knowledge and Decisions, Wolfgang A. Gaul; Martin Schader


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Автор: Wolfgang A. Gaul; Martin Schader
Название:  Data, Expert Knowledge and Decisions
ISBN: 9783642734915
Издательство: Springer
Классификация:


ISBN-10: 364273491X
Обложка/Формат: Paperback
Страницы: 380
Вес: 0.62 кг.
Дата издания: 07.01.2012
Язык: English
Размер: 244 x 170 x 21
Основная тема: Economics
Подзаголовок: An Interdisciplinary Approach with Emphasis on Marketing Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Concrete interconnections between data analysis and marketing can be seen in the contributions on classification and unfolding of market data, market segmentation by forced classification, conjoint analysis applications, ideal point product mapping, MDS in telecommunications pricing and multi-mode marketing data evaluations.


Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

Автор: Isabelle Linden; Shaofeng Liu; Christian Colot
Название: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems
ISBN: 3319574868 ISBN-13(EAN): 9783319574868
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.

Intelligent Support Systems for Marketing Decisions

Автор: Nikolaos F. Matsatsinis; Y. Siskos
Название: Intelligent Support Systems for Marketing Decisions
ISBN: 1402071949 ISBN-13(EAN): 9781402071942
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Utilizing many methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis, this book examines new product development, market penetration strategies, and other marketing decisions. It explores the use and implementation of these methodologies in making strategic marketing decisions.

The Theory of Implementation of Socially Optimal Decisions in Economics

Автор: L. Corchon
Название: The Theory of Implementation of Socially Optimal Decisions in Economics
ISBN: 0333657942 ISBN-13(EAN): 9780333657942
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Since the early 70s, economists have been studying the relationship between socially optimal goals and private self-interest. The task was to reconcile the Utopian and Hobbesian traditions using game theory. This book provides a succinct and up-to-date account of this vast literature.

Preferences and Decisions under Incomplete Knowledge

Автор: Janos Fodor; Bernard De Baets; Patrice Perny
Название: Preferences and Decisions under Incomplete Knowledge
ISBN: 3790824747 ISBN-13(EAN): 9783790824742
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information.

Consumer Knowledge and Financial Decisions

Автор: Douglas J. Lamdin
Название: Consumer Knowledge and Financial Decisions
ISBN: 1489994173 ISBN-13(EAN): 9781489994172
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Covering a range of perspectives including family/consumer science, law, sociology and public policy as well as finance and economics, this book offers an accurate picture of American financial literacy and sets out real-world steps toward its improvement.

Knowledge Discovery and Data Mining. Current Issues and New Applications

Автор: Takao Terano; Huan Liu; Arbee L.P. Chen
Название: Knowledge Discovery and Data Mining. Current Issues and New Applications
ISBN: 3540673822 ISBN-13(EAN): 9783540673828
Издательство: Springer
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Цена: 12577.00 р.
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Analyzing and Modeling Data and Knowledge

Автор: Martin Schader
Название: Analyzing and Modeling Data and Knowledge
ISBN: 3540547088 ISBN-13(EAN): 9783540547082
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume encapsulates the papers presented at a conference on the classification of data held in 1991. The material is organized in three parts - data analysis and classification, data modelling and knowledge processing and applications and special subjects.

Data Analysis, Machine Learning and Knowledge Discovery

Автор: Myra Spiliopoulou; Lars Schmidt-Thieme; Ruth Janni
Название: Data Analysis, Machine Learning and Knowledge Discovery
ISBN: 331901594X ISBN-13(EAN): 9783319015941
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.

Data Mining Methods for Knowledge Discovery

Автор: Krzysztof J. Cios; Witold Pedrycz; Roman W. Swinia
Название: Data Mining Methods for Knowledge Discovery
ISBN: 1461375576 ISBN-13(EAN): 9781461375579
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.

Data Warehousing and Knowledge Discovery

Автор: Il-Yeol Song; Johann Eder; Tho Manh Nguyen
Название: Data Warehousing and Knowledge Discovery
ISBN: 3540858350 ISBN-13(EAN): 9783540858355
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Includes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008. This book contains 40 papers that were selected from 143 submissions.

Exploiting Linked Data and Knowledge Graphs for Large Organisations

Автор: Jeff Z. Pan; Guido Vetere; Jose Manuel Gomez-Perez
Название: Exploiting Linked Data and Knowledge Graphs for Large Organisations
ISBN: 3319456520 ISBN-13(EAN): 9783319456522
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.

It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data

Автор: L. Octavio Lerma; Vladik Kreinovich
Название: Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
ISBN: 3319613480 ISBN-13(EAN): 9783319613482
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data.


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