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Social Media Mining, Zafarani


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Цена: 60180.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: 262 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Zafarani
Название:  Social Media Mining
ISBN: 9781107018853
Издательство: Cambridge Academ
Классификация:

ISBN-10: 1107018854
Обложка/Формат: Hardback
Страницы: 332
Вес: 0.61 кг.
Дата издания: 28.04.2014
Серия: Computing & IT
Язык: English
Иллюстрации: Worked examples or exercises; 20 tables, unspecified; 109 line drawings, unspecified
Размер: 243 x 156 x 22
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Ethical & social aspects of IT,Legal aspects of IT,Databases,Data mining, COMPUTERS / Databases / General
Основная тема: Computer science
Подзаголовок: An Introduction
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform for students, practitioners, researchers and project managers to understand the basics and potentials of social media mining. It presents fundamental concepts, emerging issues, and effective algorithms for network analysis and data mining.

Graph-Based Social Media Analysis

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.


Social Media, Sociality, and Survey Research

Автор: Hill Craig A
Название: Social Media, Sociality, and Survey Research
ISBN: 111837973X ISBN-13(EAN): 9781118379738
Издательство: Wiley
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Цена: 68590.00 T
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Описание: The first book to address how social media is revolutionizing the field of survey research, Social Media, Sociality, and Survey Research equips readers with a new ideology for conducting data collection and analysis in the face of emerging technologies.

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: 170010.00 T
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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.

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: 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.

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: 189420.00 T
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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.

Social Media Data Mining and Analytics

Автор: Szabo Gabor, Boykin Oscar
Название: Social Media Data Mining and Analytics
ISBN: 1118824857 ISBN-13(EAN): 9781118824856
Издательство: Wiley
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Цена: 36950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.


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