Information architecture Books

Explore supercharged machine learning techniques to take care of your data laundry loadsKey Features:Learn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the...

Apply data storytelling concepts and analytical thinking to create dashboards and reports in Google Data Studio to aid data-driven decision makingKey Features:Gain a solid understanding of data visualization principles and learn to apply them...

Originally developed by Claude Shannon in the 1940s, information theory laid the foundations for the digital revolution, and is now an essential tool in telecommunications, genetics, linguistics, brain sciences, and deep space communication. In this...

Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations. It tries to address the problem of why: by providing explanations to users or system designers, it helps humans to...

Progress in ubiquitous computing, social networking, medical informatics and IT technologies has resulted in a new generation of healthcare systems. Ubiquitous Health and Medical Informatics: The Ubiquity 2.0 Trend and Beyond provides insight into the...

Increased interest in and use of theoretical and empirical assessment and evaluation methods have created a need for unique contributions to exisiting literature in the field of adult education and career and technical education. Assessing and Evaluating...

Teachers and teacher educators are faced with the challenge of adapting to and remaining aware of continual advancements in technology and their resulting impact in the classroom. Technology Leadership in Teacher Education: Integrated Solutions and...

As management theory is critical to understanding decision-making and formal leadership in organizations, comprehension of their creation, structure, and application greatly benefits and furthers the development of management systems. Cybernetics and...

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:...

Recent changes in information science have emerged as a result of challenges faced by the business, social, and scientific worlds, as well as continued progress in information and communication technologies. Organizations have begun to seek collaborative...

Cognitive informatics is a multidisciplinary field that acts as the bridge between natural science and information science. Specifically, it investigates the potential applications of information processing and natural intelligence to science and...

Pervasive computing environments based on the ubiquitous communications paradigm have attracted significant research interest and have found increased applicability in commercial settings, attributed to the fact that they provide seamless, customized,...

Software engineering has advanced rapidly in recent years in parallel with the complexity and scale of software systems. New requirements in software systems yield innovative approaches that are developed either through introducing new paradigms or...

Im Jahr 2001 hat der deutsche Gesetzgeber durch mehrere Änderungen der Zivilprozessordnung die Grundlagen für einen Einsatz von Informationstechnologien im Zivilprozess geschaffen (FormanpassungsG 2001; ZPO-ReformG 2001; ZustellungsreformG 2001). Diese...

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...

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...

Programming has become a significant part of connecting theoretical development and scientific application computation. Fluid dynamics provide an important asset in experimentation and theoretical analysis. Analysis and Applications of Lattice Boltzmann...

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are...

It is generally accepted that building information modeling (BIM) related technologies offer considerable advantages to many participants in the construction sector. Currently, there exists a whole range of commercially available BIM software platforms...

Translation and communication between cultures can sometimes be a difficult process. Image-based assessments can offer a way for large populations to be tested on different subjects without having to create multiple testing programs. Cross-Cultural...

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data...

Shape representation and reconstruction is a vital aspect of modern computer science applications. New modeling methods and techniques can significantly optimize these processes. Probabilistic Nodes Combination (PNC) for Object Modeling and Contour...

The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for...

The prevalence of data science has grown exponentially in recent years. Increases in data exchange have created the need for standards and formats on handling data from different sources. Developing Metadata Application Profiles is an innovative...

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and...

There are many different approaches to understanding human consciousness. By conducting research to better understand various biological mechanisms, these can be redefined and utilized for technological purposes. Advanced Research on Biologically...

The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize. Big Data Applications in...

When a nation or region of the world is under a state of distress and violence, international government agencies are tasked with the job of delivering aid to assist. Before intervening, however, it is imperative to examine the situation's individual...

The success of any organization is largely dependent on positive feedback and repeat business from patrons. By utilizing acquired marketing data, business professionals can more accurately assess practices, services, and products that their customers...

For any organization, analysis of performance and effectiveness through available data allows for informed decision making. Data envelopment analysis, or DEA, is a popular, effective method that can be used to measure productive efficiency in operations...

Step-by-step guide to practising data science techniques with Jupyter notebooksDescriptionModern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical...

===========================Relationale Datenmodellierung ===========================Eine Modellierungshilfe für DB-DesignerVon einem Praktiker für Studierende===========================Das Heft erklärt von der Sequentiellen über die...

Efficiently transform your initial designs into big systems by learning the foundations of infrastructure, algorithms, and ethical considerations for modern software productsKey FeaturesLearn how to scale-up your machine learning software to a...

Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructionsKey FeaturesExplore Microsoft Fabric and its features through real-world examplesBuild data analytics solutions for...

Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industriesKey Features:Apply deep learning algorithms to solve...

Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizationsKey Features:Learn about healthcare industry challenges...

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming languageKey Features:Create, deploy, productionalize, and scale automated...

Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey Features:Learn to ingest, prepare, manage, and serve data for immediate business requirementsBring enterprise data warehousing and big data...

Metric Searching in a Nutshell.- Foundations of Metric Space Searching.- Survey of Existing Approaches.- Metric Searching in Large Collections of Data.- Centralized Index Structures.- Approximate Similarity Search.- Parallel and Distributed Indexes.

Basic Concepts.- Performance Optimization.- Synchronization.- Channel Estimation.- Peak Power Reduction Techniques.- Synchronization for MIMO OFDM.