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From Social Data Mining and Analysis to Prediction and Community Detection, Mehmet Kaya; ?zcan Erdo?an; Jon Rokne


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Автор: Mehmet Kaya; ?zcan Erdo?an; Jon Rokne
Название:  From Social Data Mining and Analysis to Prediction and Community Detection
ISBN: 9783319513669
Издательство: Springer
Классификация:


ISBN-10: 3319513664
Обложка/Формат: Hardcover
Страницы: 245
Вес: 0.54 кг.
Дата издания: 22.03.2017
Серия: Lecture Notes in Social Networks
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 40 tables, color; 53 illustrations, color; 25 illustrations, black and white; x, 245 p. 78 illus., 53 illus. in color.
Размер: 234 x 156 x 16
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.


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.

Social Media Mining And Social Network Analysis

Автор: Xu & Li
Название: Social Media Mining And Social Network Analysis
ISBN: 1466628065 ISBN-13(EAN): 9781466628069
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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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.

Signal Analysis and Prediction

Автор: Ales Prochazka; N.G. Kingsbury; P.J.W. Payner; J.
Название: Signal Analysis and Prediction
ISBN: 1461272734 ISBN-13(EAN): 9781461272731
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America.

Data Mining And Analysis In The Engineering Field

Автор: Bhatnagar
Название: Data Mining And Analysis In The Engineering Field
ISBN: 1466660864 ISBN-13(EAN): 9781466660861
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization.Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.

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.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.

Data Mining and Predictive Analysis

Автор: Colleen McCue
Название: Data Mining and Predictive Analysis
ISBN: 0128002298 ISBN-13(EAN): 9780128002292
Издательство: Elsevier Science
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Цена: 9936.00 р.
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Описание: Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive,security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining inhomeland security, security analysis, and operational law enforcementsettings.This revised text highlights new and emerging technology, discusses the importance of analytic contextfor ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics inintelligence and securityanalysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment.

Data Mining and Crime Analysis in Financial Markets

Автор: Marius-Christian Frunza
Название: Data Mining and Crime Analysis in Financial Markets
ISBN: 0128012218 ISBN-13(EAN): 9780128012215
Издательство: Elsevier Science
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Цена: 12462.00 р.
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Описание:

Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.

The first two sections appeal to readers with technical backgrounds, describing data analysis and ways to manipulate markets and commit crimes. The third section gives life to the information through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others.

The book is sharply focused on analyzing the origin of a crime from an economic perspective, showing Big Data in action, noting both the pros and cons of this approach.

Handbook of Statistical Analysis and Data Mining Applications, 2 ed.

Автор: Robert Nisbet , Gary Miner, Ken Yale
Название: Handbook of Statistical Analysis and Data Mining Applications, 2 ed.
ISBN: 0124166326 ISBN-13(EAN): 9780124166325
Издательство: Elsevier Science
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Цена: 13304.00 р.
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Описание:

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.

This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas--from science and engineering, to medicine, academia and commerce.

  • Includes input by practitioners for practitioners
  • Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
  • Contains practical advice from successful real-world implementations
  • Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions
  • Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems

Автор: Ivan Zelinka; Guanrong Chen; Otto E. R?ssler; Vacl
Название: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems
ISBN: 3319005413 ISBN-13(EAN): 9783319005416
Издательство: Springer
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Цена: 34937.00 р.
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Описание: For this purpose there is rich spectra of methods, from classical like ARMA models or Box Jenkins method to such modern ones like evolutionarycomputation, neural networks, fuzzy logic, fractal geometry, deterministic chaos and more.


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