Challenges and Applications of Data Analytics in Social Perspectives, V. Sathiyamoorthi, Atilla Elci

Автор: V. Sathiyamoorthi, Atilla Elci
Название: Challenges and Applications of Data Analytics in Social Perspectives
ISBN: 1799825671 ISBN-13(EAN): 9781799825678
Издательство: Mare Nostrum (Eurospan)
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Цена: 196810.00 T
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Описание: Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The publication examines topics that include collaborative filtering, data visualization, and edge computing.

Автор: Guojun Gan
Название: Data Clustering: Theory, Algorithms, and Applications
ISBN: 0898716233 ISBN-13(EAN): 9780898716238
Издательство: Mare Nostrum (Eurospan)
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Цена: 112860.00 T
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Описание: Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, centre-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.

Название: Data mining with decision trees: theory and applications
ISBN: 9812771719 ISBN-13(EAN): 9789812771711
Издательство: World Scientific Publishing
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Цена: 116160.00 T
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Описание: Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. Dedicated to the field of decision trees in data mining, this book covers various aspects of this technique.

Автор: Pan
Название: Intelligent Data Analysis and Applications
ISBN: 3319484982 ISBN-13(EAN): 9783319484983
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI).The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 107190.00 T
Наличие на складе: Нет в наличии.
Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

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.

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Cognitive Social Mining Applications in Data Analytics and Forensics
ISBN: 1522575227 ISBN-13(EAN): 9781522575221
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data.Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

Автор: Jovan Pehcevski
Название: Big Data Analytics: Methods and Applications
ISBN: 1773615041 ISBN-13(EAN): 9781773615042
Издательство: Mare Nostrum (Eurospan)
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Цена: 164470.00 T
Наличие на складе: Невозможна поставка.
Описание: Examines various big data modelling and analytics approaches, infrastructure and security issues in the analysis of big data, and applications of big data in business, finance and management. The book provides an understanding of the applications of big data analytics along with its opportunities and challenges.

Автор: Zhaohao Sun
Название: Managerial Perspectives on Intelligent Big Data Analytics
ISBN: 1522572775 ISBN-13(EAN): 9781522572770
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Автор: Johnson I. Agbinya
Название: Applied Data Analytics - Principles and Applications
ISBN: 8770220964 ISBN-13(EAN): 9788770220965
Издательство: Taylor&Francis
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Цена: 99010.00 T
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Описание: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.

Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications.

The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts.

This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.

Автор: Pratyush Banerjee, Jatin Pandey, Manish Gupta
Название: Practical Applications of HR Analytics: A Step-by-Step Guide
ISBN: 9353282969 ISBN-13(EAN): 9789353282967
Издательство: Sage Publications
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Цена: 31680.00 T
Наличие на складе: Невозможна поставка.
Описание: A comprehensive introduction to the know-how of HR analytics and its role in optimizing HR decision-making and driving organizational performance. In today’s technology-driven world, HR analytics is pivotal to measure, express and take focused HR decisions. Practical Applications of HR Analytics equips readers with the required tools and techniques to effectively identify, capture and utilize the vast amount of available data in making better informed business decisions. The text is lucid and packed with practical illustrative examples, hands-on exercises and datasets. It is an invaluable resource for management students and HR professionals who want to translate the benefits of HR analytics into practice, thus paving the way for evidence-based human resource management. Key Features: • Practical understanding of a range of open-source statistical GUI software.  • Focus on both descriptive and predictive analytics in HR.  • Chapter opening vignettes, industry examples and real-world case studies on application of HR analytics in organizations.  • Supplementary exercises and soft copy of datasets provided on Google Drive Link to facilitate hands-on training.