Analysis of Images, Social Networks and Texts, Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G.

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: 180180.00 T
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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.

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: 54040.00 T
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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;

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: 68950.00 T
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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.

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: 102480.00 T
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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.

Автор: Ioannis Pitas
Название: Graph-Based Social Media Analysis
ISBN: 149871904X ISBN-13(EAN): 9781498719049
Издательство: Taylor&Francis
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Цена: 107190.00 T
Наличие на складе: Невозможна поставка.
Описание:

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing.

Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies.

The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution.

Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more.

This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

Автор: Xiangyu Kong; Changhua Hu; Zhansheng Duan
Название: Principal and Minor Component Analysis Neural Networks to Principal Component Analysis Networks and Algorithms
ISBN: 981102913X ISBN-13(EAN): 9789811029134
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc.

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: 111790.00 T
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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.

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
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Цена: 121110.00 T
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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.

Автор: C?line Rozenblat; Guy Melancon
Название: Methods for Multilevel Analysis and Visualisation of Geographical Networks
ISBN: 9401780617 ISBN-13(EAN): 9789401780612
Издательство: Springer
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Цена: 125770.00 T
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Описание: This book covers the latest techniques for analysing and representing the complex, multi-layered data now available to geographers studying urban zones and their populations, from network analysis tools to multi-level analysis of flows in air- and seaports.

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: 71690.00 T
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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.

Автор: C?line Rozenblat; Guy Melancon
Название: Methods for Multilevel Analysis and Visualisation of Geographical Networks
ISBN: 9400766769 ISBN-13(EAN): 9789400766761
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book covers the latest techniques for analysing and representing the complex, multi-layered data now available to geographers studying urban zones and their populations, from network analysis tools to multi-level analysis of flows in air- and seaports.

Автор: Walter Kropatsch; Martin Kampel; Allan Hanbury
Название: Computer Analysis of Images and Patterns
ISBN: 3540742719 ISBN-13(EAN): 9783540742715
Издательство: Springer
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Цена: 158380.00 T
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Описание: Constitutes the refereed proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007, held in Vienna, Austria, in August 2007. This work contains papers that are organized in topical sections on motion detection and tracking, medical imaging, biometrics, colour, image segmentation and shape.