Analysis of Images, Social Networks and Texts, Mikhail Yu. Khachay; Natalia Konstantinova; Alexan
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) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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 Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: I-Hsien Ting; Hui-Ju Wu; Tien-Hwa Ho Название: Mining and Analyzing Social Networks ISBN: 3642134211 ISBN-13(EAN): 9783642134210 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In addition to invited work from leading researchers, this book includes extended papers from MSNDS2009, the International Workshop on Mining Social Networks for Decision Support. Further material comes from the SNMABA2009 conference on business applications.
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 Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Alexander Название: Analysis of Images, Social Networks and Texts ISBN: 3319125796 ISBN-13(EAN): 9783319125794 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: 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 Рейтинг: Цена: 111790.00 T 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.
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 Рейтинг: Цена: 71690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Ryszard Kowalczyk Название: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems ISBN: 3642044409 ISBN-13(EAN): 9783642044403 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.
Автор: Xu & Li Название: Social Media Mining And Social Network Analysis ISBN: 1466628065 ISBN-13(EAN): 9781466628069 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 170010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The widespread use of web-based communities, social media, and social networking sites has brought a rapid change to the interaction between computers and users as well as the digital experience as a whole. <br><br><em>Social Media Mining and Social Network Analysis: Emerging Research</em> highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organisation science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
Автор: Zhou Su; Qichao Xu; Kuan Zhang; Xuemin (Sherman) S Название: Modeling and Optimization for Mobile Social Networks ISBN: 3319479210 ISBN-13(EAN): 9783319479217 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book investigates the modeling and optimization issues in mobile social networks (MSNs). Firstly, the architecture and applications of MSNs are examined. The existing works on MSNs are reviewed by specifying the critical challenges and research issues. Then, with the introduction of MSN-based social graph and information dissemination mechanisms, the analytical model for epidemic information dissemination with opportunistic Links in MSNs is discussed. In addition, optimal resource allocation is studied based on a heterogeneous architecture, which provides mobile social services with high capacity and low latency. Finally, this book summarize some open problems and future research directions in MSNs.
Written for researchers and academics, this book is useful for anyone working on mobile networks, network architecture, or content delivery. It is also valuable for advanced-level students of computer science.
Автор: Rokia Missaoui; Sergei O. Kuznetsov; Sergei Obiedk Название: Formal Concept Analysis of Social Networks ISBN: 3319641662 ISBN-13(EAN): 9783319641669 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Автор: Ioannis Pitas Название: Graph-Based Social Media Analysis ISBN: 149871904X ISBN-13(EAN): 9781498719049 Издательство: Taylor&Francis Рейтинг: 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.
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