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Multimedia data mining and analytics, 


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Цена: 111790.00T
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Склад Америка: 171 шт.  
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Название:  Multimedia data mining and analytics
ISBN: 9783319149974
Издательство: Springer
Классификация:




ISBN-10: 3319149970
Обложка/Формат: Hardcover
Страницы: 454
Вес: 0.86 кг.
Дата издания: 01.04.2015
Язык: English
Иллюстрации: 48 tables, black and white; 153 illustrations, color; 35 illustrations, black and white; xiv, 454 p. 188 illus., 153 illus. in color.
Размер: 247 x 165 x 25
Читательская аудитория: Professional & vocational
Подзаголовок: Disruptive innovation
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Multimedia Data Mining and Analytics

Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 42230.00 T
Наличие на складе: Есть
Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Data Mining: The Textbook

Автор: С.Aggarwal
Название: Data Mining: The Textbook
ISBN: 3319141414 ISBN-13(EAN): 9783319141411
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.

Multimedia Data Mining and Knowledge Discovery

Автор: Valery A. Petrushin; Latifur Khan
Название: Multimedia Data Mining and Knowledge Discovery
ISBN: 1447160134 ISBN-13(EAN): 9781447160137
Издательство: Springer
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Цена: 144410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications.

Mining Multimedia Documents

Автор: Wahiba Ben Abdessalem Karaa
Название: Mining Multimedia Documents
ISBN: 1138031720 ISBN-13(EAN): 9781138031722
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание:

The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them.

Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.


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
Наличие на складе: Есть у поставщика Поставка под заказ.
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 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
Наличие на складе: Есть у поставщика Поставка под заказ.
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
Наличие на складе: Есть у поставщика Поставка под заказ.
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
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

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
Рейтинг:
Цена: 118270.00 T
Наличие на складе: Поставка под заказ.
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.

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
Рейтинг:
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.

Intelligent Data Mining in Law Enforcement Analytics

Автор: Paolo Massimo Buscema; William J. Tastle
Название: Intelligent Data Mining in Law Enforcement Analytics
ISBN: 9400796013 ISBN-13(EAN): 9789400796010
Издательство: Springer
Рейтинг:
Цена: 194730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this thorough review of cutting-edge methods in law-enforcement data mining, the authors bring the latest research on artificial intelligence to life with chapters on key neural network developments in law enforcement that make criminality more foreseeable.

Data Mining: Concepts and Techniques,

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
Рейтинг:
Цена: 64800.00 T
Наличие на складе: Поставка под заказ.
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.


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