Computational and Statistical Methods for Analysing Big Data with Applications

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  • Publisher : Academic Press
  • Release : 20 November 2015
  • ISBN : 9780081006511
  • Page : 206 pages
  • Rating : 5/5 from 4 voters

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Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate

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Computational and Statistical Methods for Analysing Big Data with Applications

Computational and Statistical Methods for Analysing Big Data with Applications
  • Author : Shen Liu,James Mcgree,Zongyuan Ge,Yang Xie
  • Publisher : Academic Press
  • Release Date : 2015-11-20
  • ISBN : 9780081006511
GET THIS BOOKComputational and Statistical Methods for Analysing Big Data with Applications

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an

Handbook of Big Data Analytics

Handbook of Big Data Analytics
  • Author : Wolfgang Karl Härdle,Henry Horng-Shing Lu,Xiaotong Shen
  • Publisher : Springer
  • Release Date : 2018-07-20
  • ISBN : 9783319182841
GET THIS BOOKHandbook of Big Data Analytics

Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have

Computational and Statistical Methods for Analysing Big Data with Applications

Computational and Statistical Methods for Analysing Big Data with Applications
  • Author : Shen Liu,James McGree,Zongyuan Ge,Yang Xie
  • Publisher : Academic Press
  • Release Date : 2015-10-15
  • ISBN : 0128037326
GET THIS BOOKComputational and Statistical Methods for Analysing Big Data with Applications

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an

Data Analysis and Applications 3

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  • Author : Andreas Makrides,Alex Karagrigoriou,Christos H. Skiadas
  • Publisher : John Wiley & Sons
  • Release Date : 2020-06-16
  • ISBN : 9781786305343
GET THIS BOOKData Analysis and Applications 3

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and

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  • Publisher : CRC Press
  • Release Date : 2022
  • ISBN : 1003152392
GET THIS BOOKData Analytics, Computational Statistics, and Operations Research for Engineers

"With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis

Computational Methods for Data Analysis

Computational Methods for Data Analysis
  • Author : Yeliz Karaca,Carlo Cattani
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2018-12-17
  • ISBN : 9783110496369
GET THIS BOOKComputational Methods for Data Analysis

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.

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  • Author : Francesco Mola,Claudio Conversano,Maurizio Vichi
  • Publisher : Springer
  • Release Date : 2018-02-22
  • ISBN : 3319557076
GET THIS BOOKClassification, (Big) Data Analysis and Statistical Learning

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of

Applications in Statistical Computing

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  • Publisher : Springer Nature
  • Release Date : 2019-10-12
  • ISBN : 9783030251475
GET THIS BOOKApplications in Statistical Computing

This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor

Cyber Defense Mechanisms

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  • Publisher : CRC Press
  • Release Date : 2020-09-20
  • ISBN : 9781000171921
GET THIS BOOKCyber Defense Mechanisms

This book discusses the evolution of security and privacy issues and brings related technological tools, techniques, and solutions into one single source. The book will take readers on a journey to understanding the security issues and possible solutions involving various threats, attacks, and defense mechanisms, which include IoT, cloud computing, Big Data, lightweight cryptography for blockchain, and data-intensive techniques, and how it can be applied to various applications for general and specific use. Graduate and postgraduate students, researchers, and those

Research Anthology on Big Data Analytics, Architectures, and Applications

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  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2021-09-24
  • ISBN : 9781668436639
GET THIS BOOKResearch Anthology on Big Data Analytics, Architectures, and Applications

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics,

Frontiers in Massive Data Analysis

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  • Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
  • Publisher : National Academies Press
  • Release Date : 2013-09-03
  • ISBN : 9780309287814
GET THIS BOOKFrontiers in Massive Data Analysis

Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive

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  • Publisher : Springer
  • Release Date : 2017-04-25
  • ISBN : 9783319558462
GET THIS BOOKFunctional Statistics and Related Fields

This volume collects latest methodological and applied contributions on functional, high-dimensional and other complex data, related statistical models and tools as well as on operator-based statistics. It contains selected and refereed contributions presented at the Fourth International Workshop on Functional and Operatorial Statistics (IWFOS 2017) held in A Coruña, Spain, from 15 to 17 June 2017. The series of IWFOS workshops was initiated by the Working Group on Functional and Operatorial Statistics at the University of Toulouse in 2008. Since then, many of the

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  • Publisher : National Academies Press
  • Release Date : 1988-02-01
  • ISBN : 9780309037495
GET THIS BOOKThe Behavioral and Social Sciences

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns

Big Data Analytics

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  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2015-08-04
  • ISBN : 9780444634979
GET THIS BOOKBig Data Analytics

While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is unstructured. With big data, the volume is so large that processing it using traditional database and software techniques is difficult, if not impossible. The drivers are the ubiquitous sensors, devices, social

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  • Author : Segall, Richard S.,Niu, Gao
  • Publisher : IGI Global
  • Release Date : 2020-02-21
  • ISBN : 9781799827702
GET THIS BOOKOpen Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big