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9780128037324 English 0128037326 Computational and Statistical Methods for Analysing Big Data with Applications begins with an overview of the era of big data. It then goes on to explain different computational and statistical methods to process big data, also introducing the ways big data is analyzed in health and medical research, and then discussing how massive training data can be used in computer vision. Final sections give details on how data from mobile devices can be collected and analyzed. Discusses how big data is processed using computational and statistical methodsExplains how data is analyzed in medical researchExplores different ways of collecting data from mobile phones and how to analyze it, 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, The book starts with an overview of the era of big data. It then goes on to explain different computational and statistical methods to process big data. Another part introduces how big data is analysed in health and medical research. It then discusses how massive training data can be used in computer vision. It finally gives details on how data from mobile devices can be collected and then analysed. Discusses how big data is processed using computational and statistical methods Explains how data is analysed in medical research Explores different ways of collecting data from mobiles and how to analyses it
9780128037324 English 0128037326 Computational and Statistical Methods for Analysing Big Data with Applications begins with an overview of the era of big data. It then goes on to explain different computational and statistical methods to process big data, also introducing the ways big data is analyzed in health and medical research, and then discussing how massive training data can be used in computer vision. Final sections give details on how data from mobile devices can be collected and analyzed. Discusses how big data is processed using computational and statistical methodsExplains how data is analyzed in medical researchExplores different ways of collecting data from mobile phones and how to analyze it, 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, The book starts with an overview of the era of big data. It then goes on to explain different computational and statistical methods to process big data. Another part introduces how big data is analysed in health and medical research. It then discusses how massive training data can be used in computer vision. It finally gives details on how data from mobile devices can be collected and then analysed. Discusses how big data is processed using computational and statistical methods Explains how data is analysed in medical research Explores different ways of collecting data from mobiles and how to analyses it