Java Data Object

This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometrics concepts are explained visually with examples, problems, and solutions.Developed by economists, the Eviews statistical software package is used most commonly for time-series oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout. Abdulkader Alja

This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement

This edited volume on data science features a variety of research ranging from theoretical to applied and computational topics. Aiming to establish the important connection between mathematics and dat

This book analyses the legal approach to personal data taken by different fields of law. An increasing number of business models in the digital economy rely on personal data as a key input. In exchang

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data anal

This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provi

This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science a

This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and esta

This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinforma

This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers. The authors present the mo

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve a hospital’s IT Energy Efficiency along with information on

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai

This didactic book uses a data-driven approach to connect measurements made by plasma instruments to the real world. This approach makes full use of the instruments’ capability and examines

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text minin

This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, po

This book describes in detail a research project dedicated to liquid-particle flow using ultrasound techniques. The project consists of theoretical, experimental, data science, finite element modeling, mechanical design and project management components. The objective of the project was to develop the ultrasonic methodology for measurement and characterization of liquid flow containing solid particles, in online (real-time) measurement conditions. The project consists of primary and complementary studies. The primary studies comprise development of the ultrasonic methodology for the simultaneous measurement of the average particle concentration and flow speed parameters. The developed methodology is based on the ultrasonic attenuation spectroscopy and the sound speed measurement methods, supported by data science programs. The complementary studies include acoustic streaming, designing a small-scale rotational test cell with an annular flow channel, testing it for various applications

This book constitutes the refereed post-conference proceedings of the 5th International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2024, which took place December 7-8, 2024, in Leicester, UK. The conference aims to provide a forum for presentation and discussion the state-of-art and future perspectives of Internet of Things and big data of health care. Industry experts, researchers and academics gather to share ideas and experiences surrounding frontier technologies, breakthroughs, innovative solutions and research results, as well as initiatives related to IoT and health care, and their applications. The topic focuses on the convergence of IoT and big data technologies for e-health, e-care, lifestyle, aging population, smart personal living, etc., applications.

This book offers data-based insights into the problems of translation education and their causes in the context of localization and globalization in the era of big data. By examining language services

This book discusses the implementation of privacy by design in Europe, a principle that has been codified within the European Data Protection Regulation (GDPR). While privacy by design inspires hope f

This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learnin

This book presents lecture materials from the Third LOFAR Data School, transformed into a coherent and complete reference book describing the LOFAR design, along with descriptions of primary science c

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and in

This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative met

This book presents physical units and widely used physical formulas, which are given together with conversion factors in various units. It includes frequently used atomic spectra and data for atoms, i

This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses field

This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy log

As artificial intelligence continues to transform our world, Europe stands at the forefront of ensuring this revolutionary technology serves humanity’s best interests. This essential volume brings together experts on law, regulation, human rights, ethics, and policy to provide the first comprehensive analysis of Europe’s pioneering approach to AI regulation. From the landmark AI Act to data protection and data governance frameworks, this meticulously curated collection offers unprecedented insights into (1) the delicate balance between the public and private benefits of AI, and the public and private risks it poses; (2) the regulatory policy and regulatory strategy influencing European law-making; (3) the role of ethics and human rights in regulating AI in Europe; (4) the real-world implications of evolving European AI regulation; and (5) future challenges and opportunities in the rapidly evolving AI landscape. Distinguished contributors from the fields of legal scholarship, policymaki

This open access book focuses on trends in educational inequality using twenty years of grade 8 student data collected from 13 education systems by the IEA’s Trends in Mathematics and Science Study (T

This book highlights the quantitative methods of data mining and information visualization and explores their use in relation to the films and writings of the Russian director, Dziga Vertov. The theor

This 2-volume book covers the state-of-the-art of the research and practices on eco-design. It covers the latest topics in the field: e.g. global eco-design management, big data in eco-design, social

This 2-volume book covers the state-of-the-art of the research and practices on eco-design. It covers the latest topics in the field: e.g. global eco-design management, big data in eco-design, social

This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena s

Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to

This book is open access under a CC BY 4.0 license.This volume shares new data relating to Climate-Smart Agriculture (CSA), with emphasis on experiences in Eastern and Southern Africa. The book is a c

This book focuses on information geometry manifolds of structured data/information and their advanced applications featuring new and fruitful interactions between several branches of science: informat

This book bridges the current quantitative and qualitative text analyses, using grammar as a crucial source of investigation. Taking data from Czech, an inflected language, in which the most optimal c

Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational appr

This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed t

This book demonstrates teachers’ and learners’ experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of usin

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professio