In-Memory Data Management

This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics.The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number

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 book explores the possibility of building the resilience of the UNESCO cultural landscapes, both using theoretical conceptions and practical strategies and actions. Two case studies have been selected, one in Italy and one in China, which have then been explored for the first time in such a comparative way. Different notions of landscape, as well as the driving force of changes affecting these landscapes, are examined and compared.Moreover, the perceptions of the local communities regarding these landscapes are examined, using online questionnaires with over 400 participants. This research highlights the need for an integrated management system, building stronger rural communities able to manage change and continuity. Five pillars to build the resilience of these landscapes have been provided, with schemes and figures, requiring a people-centered approach in their management.This book demonstrates strong connections between identity and landscape resilience, especially in inlandar

This book proposes that, within the automotive industry, revised marketing principles and innovative marketing strategies are needed to address more effectively the unprecedented challenges posed by t

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 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

How is technology changing the way people remember? This book explores the interplay of memory stored in the brain (internal memory) and outside of the brain (external memory), providing a thorou

This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sect

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 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 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 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 communicates new voices, insights, and possibilities for working with the arts and memory in researching teacher professional learning. The book reveals how, through the arts, teacher-resear

This book uniquely presents accurate and up-to-date information related to crops in small and fragmented agricultural lands with mixed cropping patterns. The book involves research using remote sensing (RS), Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to develop crop inventories in three growing seasons in three villages across India to inform decision makers and planners on best practices for agricultural management. The data analysis of crop details using various geospatial technologies fills in gaps in statistical agriculture research, and provides reliable, replicable and efficient methods for generating agricultural statistics. The book will be of interest to statisticians, planners and decision makers in crop management and production.

This book investigates the fascinating concept of a continuum between human memory and memory of materials. The first part provides state-of-the-art information on shape memory alloys and outlines a b

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

Management of Musculoskeletal Injuries in the Trauma Patient summarizes the most current concepts and clinical practices for the management of the patient with musculoskeletal traumatic injuries. The

Swamy Laxminarayan was an outstanding researcher active in many diverse fields of science and technology. This liber amicorum in memory of Swamy Laxminarayan collects Medical and Biological Engineerin

This book provides an in-depth roadmap for qualitative research methods and data analysis across disciplines using ATLAS.ti. It encompasses and rationalizes key qualitative research concepts and methods with innovative frameworks to enrich the reader’s understanding of qualitative research methods and data analysis. The book contains multiple real-world projects that assist readers in developing conceptual and theoretical knowledge, as well as gaining insights from fieldwork, visualizing data collection, analysis, and methodological interpretations.This easy to use book provides a pragmatic approach to qualitative methods, proficiency in capturing field observations, user-friendly steps to data analysis starting from transcription, preparation of data, reading and identification of quotations, coding, memoing, commenting, code groups, creating smart codes and groups using set, semantic, and proximity operators resulting in generating numerous insightful thematic reports in avariety of

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 focuses on irrigation sources together with water management for agricultural development in Uttar Pradesh state of India. Being the most populous state of the country, it bears a burden of

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 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 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 book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applicat

This book primarily addresses various game theory phenomena in the context of management practice. As such, it helps readers identify the profound game theory principles behind these phenomena. At the

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 introduces readers to the latest advances in sensing technology for a broad range of non-volatile memories (NVMs). Challenges across the memory technologies are highlighted and their solutio

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

Inventory Management in Multi-Echelon Networks presents methods to plan inventory in distribution networks. By holistically looking at the supply chain, it shows how safety stocks across all ech

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 book addresses relevant issues to enhance pain management nurses need to advocate for effective pain treatment in the elderly. Significant changes in the evolving nursing and healthcare

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in var

This textbook provides a comprehensive overview of the essential issues in effective entrepreneurial management. It first introduces readers to the fundamentals of entrepreneurial management, the natu

Based on a data series of more than 50 years, this book discusses spatial and seasonal variability in air-mass and frontal extreme precipitation frequency and as well as the relationship between their

This book provides a unique guide to value management and sustainability in construction to researchers and professional. The book provides a better understanding of the concept of value management, t

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 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.

Based on the Judicial Transparency Index Assessment (2019 and 2020) conducted in China by the Institute of Law of the Chinese Academy of Social Sciences, this book summarizes and analyzes the current situation of judicial openness in China, using a sample of 218 courts across the country for the study. The book analyzes the ideological and institutional origins of judicial openness and examines the operation of judicial openness through the practical experience of role replacement. By analyzing evaluation data in the fields of audit information disclosure, trial information disclosure, judicial enforcement data disclosure, and judicial reform data disclosure, the book points out that the current judicial disclosure has made significant progress, but there are still problems such as unclear disclosure standards, insufficient rigidity in disclosure requirements, and the scope of disclosure still needs to be expanded.The book recommends accelerating the disclosure of judicial legislation,