Data capture and analysis Books

The modern world is fraught with risk, from natural disasters and terrorist attacks, to financial crises and pandemics. Assessing and planning for these risks can be done with a conventional human-based approach but this often requires large amounts of...

Organizations are rapidly shifting the way that individuals conceptualize, participate, and engage in work. A significant change is how organizations are coordinating, arranging, and organizing the activities of their employees for the accomplishments of...

The trend in scientific, as well as commercial, applications from a diverse range of fields has been towards being more and more data-intensive over time. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information...

E-government research has flourished as a way of disseminating information and providing services to citizens ever since the popularization of the Internet. Although there have been tremendous advancements in the world of e-government, critical...

Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning,...

Chemoinformatics is a scientific area that endeavours to study and solve complex chemical problems using computational techniques and methods. Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative...

The investigation of healthcare databases can be used to examine physician decisions and develop evidence-based treatment guidelines that optimize patient outcomes. Clinical Data Mining for Physician Decision Making and Investigating Health Outcomes:...

The world of corporate management benefits when organizations realize the profitability, reliability, and flexibility obtained through IT standardization. Toward Corporate IT Standardization Management: Frameworks and Solutions details the IT standards...

With the healthcare industry becoming increasingly more competitive, there exists a need for medical institutions to improve both the efficiency and the quality of their services. In order to do so, it is important to investigate how statistical models...

Gender, equity, learning, and information technology can intersect to form a theoretical and abstract field of knowledge emanating from very real, concrete, lived experiences. Gender Issues in Learning and Working with Technology: Social Constructs and...

The ability to communicate with anyone at anytime, anywhere, necessitates a need to provide reliable, resilient, and sustainable applications to support the evolving uses of mobile technologies. Movement-Aware Applications for Sustainable Mobility:...

Data mining is still a relatively young field, expanding at the rate of technology while advancing tools and techniques for gaining knowledge, finding patterns, and managing databases. Exploring Advances in Interdisciplinary Data Mining and Analytics:...

Within a given enterprise, database management involves the monitoring, administration, and maintenance of the databases, which constantly change with new technologies and new forms of data. Cross-Disciplinary Models and Applications of Database...

As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information...

Grid computing promises to transform the way organizations and individuals compute, communicate, and collaborate. Computational and Data Grids: Principles, Applications and Design offers critical perspectives on theoretical frameworks, methodologies,...

Artificial Intelligence and other Intelligent Systems heavily contribute to evolution and growth in the field of Operations Management. Intelligent Systems in Operations: Models, Methods, and Applications introduces current and original research in...

The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research...

Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also...

Continuing to stretch the boundaries of computing and the types of problems computers can solve, high performance, cloud, and grid computing have emerged to address increasingly advanced issues by combining resources. Cloud, Grid and High Performance...

Information system design and development is of interest and importance to researchers and practitioners, as advances in this discipline impact a number of other related fields and help to guide future research. Theoretical and Practical Advances in...

Over the years, advances in the business world as well as the changing of diverse application contexts, have caused Data Warehousing and Data Mining to become more paramount in our society. The two share many common issues and are commonly interrelated...

Databases are designed to support data storage, processing, and retrieval activities related to data management. The use of databases in various applications has resulted in an enormous wealth of data, which populates many types of databases around the...

Large volumes of data and complex problems inspire research in computing and data, text, and Web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities. Visual Analytics and Interactive...

Recent developments have drastically increased the volume and complexity of data available to be mined, leading researchers to explore new ways to glean non-trivial data automatically. Knowledge Discovery Practices and Emerging Applications of Data...

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating...

In an era when corporate spotlights shine brighter on data than ever before, why do a majority of data management programs fail? Organizations of all kinds, from the public to private sector, consumer goods to professional services, face the same...

In order to help organizations thrive in the modern digital age, "Decisions Based on Data: Analytics for Business Excellence" provides a comprehensive overview of data-driven decision-making and how to traverse its complex landscape. The book is a guide...

Take a deep dive into the dynamic world of Power BI!DESCRIPTION Mastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modeling to creating...

DESCRIPTIONStatistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of...

Turn raw data into meaningful solutionsDESCRIPTION Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions...

Este trabajo analiza la comunicación dentro de los videojuegos MOBA, usando como ejemplo el League of Legends. Utilizando el modelo Val.Es.Co., compara este género con la conversación coloquial, destacando los MOBA como un tipo diferenciado de discurso...

En este libro se aborda, mediante un recorrido sistemático y detallado, con ejemplos y ejercicios prácticos, diferentes metodologías digitales que nos llevan desde la búsqueda de textos en lengua española en repositorios, su almacenaje, su preparación...

En este volumen se recogen avances en el área de la traducción y la interpretación, producto del proceso de tecnologización en el que se encuentran inmersas.

Grammatical relatedness of Slavic languages could effectively be exploited in multilingual grammar engineering in order to achieve theoretically sound modularity that would also incorporate important insights from Slavic linguistics. In line with...

The need to understand customers - their behaviours, their transactions, their intentions - has never been more important. Such understanding is the primary advantage traditional banks possess against competition from new market entrants and...

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey Features:- Conduct Bayesian data analysis with...

Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageKey Features:- Optimize data retrieval and generation using vector databases- Boost decision-making...

Expand your skillset by learning how to perform data science, machine learning, and generative AI experiments in .NET Interactive notebooks using a variety of languages, including C#, F#, SQL, and PowerShellKey Features:- Conduct a full range of data...

Explore the architecture, development, and deployment strategies of large language models to unlock their full potentialKey Features:- Gain in-depth insight into LLMs, from architecture through to deployment- Learn through practical insights into...

Confidently orchestrate your data pipelines with Apache Airflow by applying industry best practices and scalable strategiesKey Features:- Understand the steps for migrating from Airflow 1.x to 2.x and explore the new features and improvements in version...

Gain the knowledge and skills needed to become a certified Microsoft Power BI data analyst and get the most out of Power BIKey Features:Get the skills you need to pass the PL-300 certification exam with confidenceCreate and maintain robust reports and...

Book summary: Discover the world of data science, from its evolution to the future of the field, as you explore data foundations, mining and machine learning, advanced analytics, visualization and communication, ethical considerations, and the role of...

2 manuscritos completos en 1 libroCiencia de los datos: Lo que saben los mejores científicos de datos sobre el análisis de datos, minería de datos, estadísticas, aprendizaje automático y Big Data - que usted...

In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for today's organizations and...