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Social Media Data Mining and Analytics, Szabo Gabor, Boykin Oscar


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Цена: 36950.00T
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Склад Америка: 211 шт.  
При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Szabo Gabor, Boykin Oscar
Название:  Social Media Data Mining and Analytics
ISBN: 9781118824856
Издательство: Wiley
Классификация:

ISBN-10: 1118824857
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.67 кг.
Дата издания: 30.11.2018
Серия: Computer hardware,Data mining
Язык: English
Размер: 190 x 235 x 17
Читательская аудитория: Professional & vocational
Ключевые слова: Computer hardware,Data mining
Ссылка на Издательство: Link
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Поставляется из: Англии
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.

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
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.

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: 41190.00 T
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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 Business Analytics with R

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
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Цена: 115050.00 T
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Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.

Data Mining: Concepts and Techniques,

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 64800.00 T
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Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.

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.

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.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 118270.00 T
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Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 125610.00 T
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 17900.00 T
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Handbook of Data Mining and Learning Analytics

Автор: ElAtia Samira
Название: Handbook of Data Mining and Learning Analytics
ISBN: 1118998235 ISBN-13(EAN): 9781118998236
Издательство: Wiley
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Цена: 115050.00 T
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Описание: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates.

Learning Spark: Lightning-Fast Big Data Analytics

Автор: Hamstra Mark, Zaharia Matei
Название: Learning Spark: Lightning-Fast Big Data Analytics
ISBN: 1449358624 ISBN-13(EAN): 9781449358624
Издательство: Wiley
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Цена: 33780.00 T
Наличие на складе: Поставка под заказ.
Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.

Social Media Mining

Автор: Zafarani
Название: Social Media Mining
ISBN: 1107018854 ISBN-13(EAN): 9781107018853
Издательство: Cambridge Academ
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Цена: 60180.00 T
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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.


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