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Analysis of Images, Social Networks and Texts, van der Aalst


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Автор: van der Aalst
Название:  Analysis of Images, Social Networks and Texts
ISBN: 9783319730127
Издательство: Springer
Классификация:



ISBN-10: 3319730126
Обложка/Формат: Paperback
Страницы: 412
Вес: 0.67 кг.
Дата издания: 2018
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 105 illustrations, black and white; xxvi, 399 p. 105 illus.
Размер: 154 x 234 x 29
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Data Mining and Knowledge Discovery
Подзаголовок: 6th International Conference, AIST 2017, Moscow, Russia, July 27–29, 2017, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. general topics of data analysis;


Analysis of Images, Social Networks and Texts

Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G.
Название: Analysis of Images, Social Networks and Texts
ISBN: 3319529196 ISBN-13(EAN): 9783319529196
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions.

Analysis of Images, Social Networks and Texts

Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Alexander
Название: Analysis of Images, Social Networks and Texts
ISBN: 3319125796 ISBN-13(EAN): 9783319125794
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos;

Analysis of Images, Social Networks and Texts

Автор: Mikhail Yu. Khachay; Natalia Konstantinova; Alexan
Название: Analysis of Images, Social Networks and Texts
ISBN: 3319261223 ISBN-13(EAN): 9783319261225
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the Fourth International Conference on Analysis of Images, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015.The 24 full and 8 short papers were carefully reviewed and selected from 140 submissions.

Formal Concept Analysis of Social Networks

Автор: Rokia Missaoui; Sergei O. Kuznetsov; Sergei Obiedk
Название: Formal Concept Analysis of Social Networks
ISBN: 3319641662 ISBN-13(EAN): 9783319641669
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory.

The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.
Developing Churn Models Using Data Mining Techniques And Social Network Analysis

Автор: Klepac, Kopal & Mrsic
Название: Developing Churn Models Using Data Mining Techniques And Social Network Analysis
ISBN: 1466662883 ISBN-13(EAN): 9781466662889
Издательство: Mare Nostrum (Eurospan)
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Цена: 27027.00 р.
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Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.

Mobile Networks for Biometric Data Analysis

Автор: Conti
Название: Mobile Networks for Biometric Data Analysis
ISBN: 3319396986 ISBN-13(EAN): 9783319396989
Издательство: Springer
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Цена: 32652.00 р.
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Описание: This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.

Bayesian networks and influence diagrams: a guide to construction and analysis

Автор: Kjarulff, Uffe B. Madsen, Anders L.
Название: Bayesian networks and influence diagrams: a guide to construction and analysis
ISBN: 1461451035 ISBN-13(EAN): 9781461451037
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1441925465 ISBN-13(EAN): 9781441925466
Издательство: Springer
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Цена: 10754.00 р.
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Описание: This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.

Data Mining In Dynamic Social Networks And Fuzzy Systems

Автор: Bhatnagar
Название: Data Mining In Dynamic Social Networks And Fuzzy Systems
ISBN: 1466642130 ISBN-13(EAN): 9781466642133
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: <em>Data Mining in Dynamic Social Networks and Fuzzy Systems</em> brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organisational development.

Encyclopedia of Social Network Analysis and Mining

Автор: Reda Alhajj; Jon Rokne
Название: Encyclopedia of Social Network Analysis and Mining
ISBN: 1493971301 ISBN-13(EAN): 9781493971305
Издательство: Springer
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Цена: 286498.00 р.
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Описание: This encyclopedia integrates fundamental concepts and research directions in social networks and their application to data mining. Some 300 entries span the broad field of social network construction and analysis as a multidisciplinary domain.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1493900293 ISBN-13(EAN): 9781493900299
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

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.

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