Computational and Statistical Methods for Analysing Big Data with Applications

Written By Shen Liu
Computational and Statistical Methods for Analysing Big Data with Applications
  • Publsiher : Academic Press
  • Release : 20 November 2015
  • ISBN : 0081006519
  • Pages : 206 pages
  • Rating : 5/5 from 4 reviews
GET THIS BOOKComputational and Statistical Methods for Analysing Big Data with Applications


Read or download book entitled Computational and Statistical Methods for Analysing Big Data with Applications written by Shen Liu which was release on 20 November 2015, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

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
  • Total pages : 206
  • ISBN : 0081006519
GET BOOK

Summary : 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 ...

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
  • Total pages : 538
  • ISBN : 0081006519
GET BOOK

Summary : 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 ...

Big Data Analytics

Big Data Analytics
  • Author : Saumyadipta Pyne,B.L.S. Prakasa Rao,S.B. Rao
  • Publisher : Springer
  • Release Date : 2016-10-12
  • Total pages : 276
  • ISBN : 0081006519
GET BOOK

Summary : This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover ...

Classification Big Data Analysis and Statistical Learning

Classification   Big  Data Analysis and Statistical Learning
  • Author : Francesco Mola,Claudio Conversano,Maurizio Vichi
  • Publisher : Springer
  • Release Date : 2018-02-21
  • Total pages : 242
  • ISBN : 0081006519
GET BOOK

Summary : 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 ...

Advanced Statistical Methods in Data Science

Advanced Statistical Methods in Data Science
  • Author : Ding-Geng Chen,Jiahua Chen,Xuewen Lu,Grace Y. Yi,Hao Yu
  • Publisher : Springer
  • Release Date : 2016-11-30
  • Total pages : 222
  • ISBN : 0081006519
GET BOOK

Summary : This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and ...

Big Data Analytics

Big Data Analytics
  • Author : C. R. Rao
  • Publisher : Elsevier
  • Release Date : 2015-07-01
  • Total pages : 390
  • ISBN : 0081006519
GET BOOK

Summary : 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. ...

Combining Soft Computing and Statistical Methods in Data Analysis

Combining Soft Computing and Statistical Methods in Data Analysis
  • Author : Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-10-12
  • Total pages : 644
  • ISBN : 0081006519
GET BOOK

Summary : Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) ...

Handbook of Big Data

Handbook of Big Data
  • Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
  • Publisher : CRC Press
  • Release Date : 2016-02-22
  • Total pages : 464
  • ISBN : 0081006519
GET BOOK

Summary : Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ...

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
  • Total pages : 329
  • ISBN : 0081006519
GET BOOK

Summary : 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 ...

Big Data Analytics in Genomics

Big Data Analytics in Genomics
  • Author : Ka-Chun Wong
  • Publisher : Springer
  • Release Date : 2016-10-24
  • Total pages : 428
  • ISBN : 0081006519
GET BOOK

Summary : This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within ...

Fiscal year 1985 Department of Energy authorization

Fiscal year 1985 Department of Energy authorization
  • Author : United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Development and Applications,United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Research and Production
  • Publisher : Unknown
  • Release Date : 1984
  • Total pages : 212
  • ISBN : 0081006519
GET BOOK

Summary : Download or read online Fiscal year 1985 Department of Energy authorization written by United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Development and Applications,United States. Congress. House. Committee on Science and Technology. Subcommittee on Energy Research and Production, published by which was released on 1984. Get Fiscal ...

ERDA Energy Research Abstracts

ERDA Energy Research Abstracts
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1983
  • Total pages : 212
  • ISBN : 0081006519
GET BOOK

Summary : Download or read online ERDA Energy Research Abstracts written by , published by which was released on 1983. Get ERDA Energy Research Abstracts Books now! Available in PDF, ePub and Kindle....

Statistics for Data Science

Statistics for Data Science
  • Author : James D. Miller
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-11-17
  • Total pages : 286
  • ISBN : 0081006519
GET BOOK

Summary : Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, ...

Practical Text Mining and Statistical Analysis for Non structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non structured Text Data Applications
  • Author : Gary Miner
  • Publisher : Academic Press
  • Release Date : 2012
  • Total pages : 1053
  • ISBN : 0081006519
GET BOOK

Summary : The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used ...

Analysis of Large and Complex Data

Analysis of Large and Complex Data
  • Author : Adalbert F.X. Wilhelm,Hans A. Kestler
  • Publisher : Springer
  • Release Date : 2016-08-03
  • Total pages : 656
  • ISBN : 0081006519
GET BOOK

Summary : This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data ...