Big Data Analytics Systems Algorithms Applications

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  • Publisher : Springer Nature
  • Release : 14 October 2019
  • ISBN : 9789811500947
  • Page : 412 pages
  • Rating : 4.5/5 from 103 voters

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This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

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Big Data Analytics: Systems, Algorithms, Applications

Big Data Analytics: Systems, Algorithms, Applications
  • Author : C.S.R. Prabhu,Aneesh Sreevallabh Chivukula,Aditya Mogadala,Rohit Ghosh,L.M. Jenila Livingston
  • Publisher : Springer Nature
  • Release Date : 2019-10-14
  • ISBN : 9789811500947
GET THIS BOOKBig Data Analytics: Systems, Algorithms, Applications

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving

Data Science and Big Data Analytics

Data Science and Big Data Analytics
  • Author : EMC Education Services
  • Publisher : John Wiley & Sons
  • Release Date : 2015-01-05
  • ISBN : 9781118876053
GET THIS BOOKData Science and Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a

Applications of Big Data Analytics

Applications of Big Data Analytics
  • Author : Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
  • Publisher : Springer
  • Release Date : 2018-07-23
  • ISBN : 9783319764726
GET THIS BOOKApplications of Big Data Analytics

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from

Big Data Analytics

Big Data Analytics
  • Author : David Loshin
  • Publisher : Elsevier
  • Release Date : 2013-08-23
  • ISBN : 9780124186644
GET THIS BOOKBig Data Analytics

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. Guides the reader in assessing the opportunities and value proposition Overview of big data hardware and software architectures Presents a variety of

Data Analytics and Big Data

Data Analytics and Big Data
  • Author : Soraya Sedkaoui
  • Publisher : John Wiley & Sons
  • Release Date : 2018-05-24
  • ISBN : 9781119528050
GET THIS BOOKData Analytics and Big Data

The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.

Mathematical Foundations of Big Data Analytics

Mathematical Foundations of Big Data Analytics
  • Author : Vladimir Shikhman,David Müller
  • Publisher : Springer Nature
  • Release Date : 2021-02-11
  • ISBN : 9783662625217
GET THIS BOOKMathematical Foundations of Big Data Analytics

In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Highlighting the Importance of Big Data Management and Analysis for Various Applications
  • Author : Mohammad Moshirpour,Behrouz Far,Reda Alhajj
  • Publisher : Springer
  • Release Date : 2017-08-22
  • ISBN : 9783319602554
GET THIS BOOKHighlighting the Importance of Big Data Management and Analysis for Various Applications

This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology.

Big Data Analytics

Big Data Analytics
  • Author : Venkat Ankam
  • Publisher : Packt Publishing Ltd
  • Release Date : 2016-09-28
  • ISBN : 9781785889707
GET THIS BOOKBig Data Analytics

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as

Big Data Analytics for Large-Scale Multimedia Search

Big Data Analytics for Large-Scale Multimedia Search
  • Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
  • Publisher : John Wiley & Sons
  • Release Date : 2019-03-18
  • ISBN : 9781119377009
GET THIS BOOKBig Data Analytics for Large-Scale Multimedia Search

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and

Practical Big Data Analytics

Practical Big Data Analytics
  • Author : Nataraj Dasgupta
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-01-15
  • ISBN : 9781783554409
GET THIS BOOKPractical Big Data Analytics

Get command of your organizational Big Data using the power of data science and analytics Key Features A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Book Description Big Data analytics relates to

Big Data Analytics for Healthcare

Big Data Analytics for Healthcare
  • Author : Pantea Keikhosrokiani
  • Publisher : Academic Press
  • Release Date : 2022-05-19
  • ISBN : 9780323985161
GET THIS BOOKBig Data Analytics for Healthcare

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to

Big Data Analytics

Big Data Analytics
  • Author : Arun K. Somani,Ganesh Chandra Deka
  • Publisher : CRC Press
  • Release Date : 2017-10-30
  • ISBN : 9781351180320
GET THIS BOOKBig Data Analytics

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data and Analytics

Big Data and Analytics
  • Author : Vincenzo Morabito
  • Publisher : Springer
  • Release Date : 2015-01-31
  • ISBN : 9783319106656
GET THIS BOOKBig Data and Analytics

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big

Big Data Analysis: New Algorithms for a New Society

Big Data Analysis: New Algorithms for a New Society
  • Author : Nathalie Japkowicz,Jerzy Stefanowski
  • Publisher : Springer
  • Release Date : 2015-12-16
  • ISBN : 9783319269894
GET THIS BOOKBig Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently

Big Data Analytics with SAS

Big Data Analytics with SAS
  • Author : David Pope
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-11-23
  • ISBN : 9781788294317
GET THIS BOOKBig Data Analytics with SAS

Leverage the capabilities of SAS to process and analyze Big Data About This Book Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data analysis with SAS Who This Book Is For SAS professionals and data analysts who wish to perform analytics on