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Network Data Analytics, K. G. Srinivasa; Siddesh G. M.; Srinidhi H.


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Автор: K. G. Srinivasa; Siddesh G. M.; Srinidhi H.
Название:  Network Data Analytics
ISBN: 9783030085445
Издательство: Springer
Классификация:



ISBN-10: 3030085449
Обложка/Формат: Soft cover
Страницы: 398
Вес: 0.87 кг.
Дата издания: 2018
Серия: Computer Communications and Networks
Язык: English
Издание: Softcover reprint of
Иллюстрации: 117 illustrations, color; 38 illustrations, black and white; xxv, 398 p. 155 illus., 117 illus. in color.
Размер: 234 x 221 x 18
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: A Hands-On Approach for Application Development
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts.
Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

Дополнительное описание: Part I: Data Analytics and Hadoop.- Chapter 1. Introduction to Data Analytics.- Chapter 2. Introduction to Hadoop.- Chapter 3. Data Analytics with Map Reduce.- Part II: Tools for Data Analytics.- Chapter 4. Apache Pig.- Chapter 5. Apache Hive.- Chapter 6.



Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database

Автор: Jones Herbert
Название: Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database
ISBN: 1647483263 ISBN-13(EAN): 9781647483265
Издательство: Неизвестно
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Цена: 4137.00 р.
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Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

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.

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics
Social Network Data Analytics

Автор: Charu C. Aggarwal
Название: Social Network Data Analytics
ISBN: 1489988939 ISBN-13(EAN): 9781489988935
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks.

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics

Автор: Das Monidipa, Ghosh Soumya K.
Название: Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics
ISBN: 3030277518 ISBN-13(EAN): 9783030277512
Издательство: Springer
Цена: 20962.00 р.
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Описание: This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The monograph is primarily prepared for graduate students of Computer Science, who wish to employ probabilistic graphical models, especially Bayesian networks (BNs), for applied research on spatial/spatio-temporal data.

Network Science Models for Data Analytics Automation: Theories and Applications

Автор: Chen Xin W.
Название: Network Science Models for Data Analytics Automation: Theories and Applications
ISBN: 3030964698 ISBN-13(EAN): 9783030964696
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book explains network science and its applications in data analytics for critical infrastructures, engineered systems, and knowledge acquisition.

Computational Intelligence for Network Structure Analytics

Автор: Maoguo Gong; Qing Cai; Lijia Ma; Shanfeng Wang; Yu
Название: Computational Intelligence for Network Structure Analytics
ISBN: 9811045577 ISBN-13(EAN): 9789811045578
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Introduction.- Network Community Discovery with Evolutionary Single-objective Optimization.- Network Community Discovery with Evolutionary Multi-objective Optimization.- Network Structure Balance Analytics with Evolutionary Optimization.- Network Robustness Analytics with Optimization.- Real-world Cases of Network Structure Analytics.- Concluding Remarks.

Computational Intelligence for Network Structure Analytics

Автор: Gong Maoguo, Cai Qing, Ma Lijia
Название: Computational Intelligence for Network Structure Analytics
ISBN: 9811351678 ISBN-13(EAN): 9789811351679
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Introduction.- Network Community Discovery with Evolutionary Single-objective Optimization.- Network Community Discovery with Evolutionary Multi-objective Optimization.- Network Structure Balance Analytics with Evolutionary Optimization.- Network Robustness Analytics with Optimization.- Real-world Cases of Network Structure Analytics.- Concluding Remarks.

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: 17741.00 р.
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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.

Sport Business Analytics

Автор: C. Keith Harrison, Scott Bukstein
Название: Sport Business Analytics
ISBN: 1498761267 ISBN-13(EAN): 9781498761260
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Поставка под заказ.

Описание:

Developing and implementing a systematic analytics strategy can result in a sustainable competitive advantage within the sport business industry. This timely and relevant book provides practical strategies to collect data and then convert that data into meaningful, value-added information and actionable insights. Its primary objective is to help sport business organizations utilize data-driven decision-making to generate optimal revenue from such areas as ticket sales and corporate partnerships. To that end, the book includes in-depth case studies from such leading sports organizations as the Orlando Magic, Tampa Bay Buccaneers, Duke University, and the Aspire Group.

The core purpose of sport business analytics is to convert raw data into information that enables sport business professionals to make strategic business decisions that result in improved company financial performance and a measurable and sustainable competitive advantage. Readers will learn about the role of big data and analytics in:

  • Ticket pricing
  • Season ticket member retention
  • Fan engagement
  • Sponsorship valuation
  • Customer relationship management
  • Digital marketing
  • Market research
  • Data visualization.

This book examines changes in the ticketing marketplace and spotlights innovative ticketing strategies used in various sport organizations. It shows how to engage fans with social media and digital analytics, presents techniques to analyze engagement and marketing strategies, and explains how to utilize analytics to leverage fan engagement to enhance revenue for sport organizations.

Filled with insightful case studies, this book benefits both sports business professionals and students. The concluding chapter on teaching sport analytics further enhances its value to academics.

Data Analytics Applications in Gaming and Entertainment

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: 16078.00 р.
Наличие на складе: Поставка под заказ.

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.


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