Organizations that utilize data mining techniques can amass valuable information on clients habits and preferences, behavior patterns, purchase patterns, sales patterns, and stock forecasts. Ethical Data Mining Applications for Socio-Economic Development provides an overview of data mining techniques under an ethical lens, investigating developments in research and best practices, while evaluating experimental cases to identify potential ethical dilemmas in the information and communications technology sector. The cases and research in this book will benefit scientists, researchers, and practitioners working in the field of data mining, data warehousing, and database management to ensure that data obtained through web-based investigations is properly handled at all organizational levels. This book is part of the Advances in Data Mining and Database Management series collection.

The book 'International English Olympiad' has been divided into five sections namely Word Structure and Knowledge, Reading Comprehension, Spoken and Written Expressions, Achievers section, and Model Papers. In every chapter, the theory has been explained through solved examples in lucid language. Multiple Choice Questions (MCQs) with Answer Key and Solutions are provided in the end of each chapter. Two Model Papers have been provided for practice purpose. A CD containing Study Chart for systematic preparation, Tips & Tricks to crack English Olympiad, Pattern of exam, and links of Previous Years Papers is accompanied with this book. #v&spublishers

This book offers readers an overview of some of the most recent advances in the field of detectors for X-ray imaging. Coverage includes both technology and applications, with an in-depth review of the research topics from leading specialists in the field. Emphasis is on high-Z materials like CdTe, CZT and perovskites, since they offer the best implementation possibilities for direct conversion X-ray detectors. Authors discuss material challenges, detector operation physics and technology and readout integrated circuits required to detect signals processes by high-Z sensors.

Consisting of an integrated technology platform, enterprise information systems enable organizations to integrate and coordinate all business processes, offering a strategic area of focus. ""Enterprise Information Systems for Business Integration in SMEs: Technological, Organizational, and Social Dimensions"" discusses the main issues, challenges, opportunities, and trends related to the impact of IT on every part of organizational and inter-organizational environments. Containing expert international contributions by leading field researchers, this publication provides readers with the most relevant findings in the topic of enterprise information systems.

As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence.""Advancing Artificial Intelligence through Biological Process Applications"" presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

As the Internet has evolved to become an integral part of modern society, the need for better quality assurance practices in web engineering has heightened. Adherence to and improvement of current standards ensures that overall web usability and accessibility are at optimum efficiency. Design Solutions for Improving Website Quality and Effectiveness is an authoritative reference source for the latest breakthroughs, techniques, and research-based solutions for the overall improvement of the web designing process. Featuring relevant coverage on the analytics, metrics, usage, and security aspects of web environments, this publication is ideally designed for reference use by engineers, researchers, graduate students, and web designers interested in the enhancement of various types of websites.

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

The recent advancements in the machine learning paradigm have various applications, however, it has shown significant results in the field of medical data analysis. The results are highly accurate and are comparable to human experts. The various research has proved the high accuracy of deep learning algorithms and has become a standard choice for analysing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Researchers in industry, hospitals, and academia have published hundreds of scientific contributions in this area during a pandemic. This book is an ideal and relevant source of content for data science and healthcare professionals who want to delve into complex deep learning algorithms, calibrate models, and improve the predictions of the trained model on medical imaging. Primary audiences for this book are professionals and researchers in the fields of data science, machine learning, deep learning, and AI. Also academicians, healthcare professionals, or anyone who may have a keen interest in how the machine and deep learning algorithms are helping in the identification of solutions to medical sensor/image data analysis, event detection, segmentation, and abnormality detection, object/lesion classification, organ/region/landmark localization, object/lesion detection, organ/substructure segmentation, lesion segmentation, and medical image registration. The variety of readers in the fields of government, consulting, healthcare professionals, as well as the readers from all the social strata, can also be benefited from this book to improve understanding of the cutting-edge theory, technologies, methodologies, and applications of deep Learning algorithms for medical care.

The world is moving into a new era of the knowledge economy. In the past decade, the significance of developing knowledge has grown to a level where it is now dominating other socio-economic factors. Systems Approaches to Knowledge Management, Transfer, and Resource Development provides a new view of knowledge management through the lens of systems approach, which looks at each part of the knowledge management system as a section of the full overview. This cutting-edge resource will be essential for academicians, scientists, practitioners, and industry professionals as all of these individuals work toward a new understanding of knowledge and information management practices in the 21st century.

For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021

This Book is comprised of solutions for the treatment of cognitive diseases with Bionics or Bioinspired Algorithms using future technologies such as artificial intelligence, machine learning, Internet of Things (IoT), data science, and more. Studying the behavior of nature and providing the medical engineering solutions would not only be unique but would result in substantial contribution in solution of so many cognitive disease problems which are not detected correctly in initial stages. This publication would be a breakthrough in the field of medical science, especially in the field of cognitive diseases by providing solutions in the form of algorithms and devices that could be useful for the brain disease patient for early detection. This book is essential for various medical research centers, engineering institutions across the world, medical colleges, biomedical research centers, and electronics and communication research centers.

There are new and important advancements in todays complexity theories in ICT and requires an extraordinary perspective on the interaction between living systems and information technologies. With human evolution and its continuous link with the development of new tools and environmental changes, technological advancements are paving the way for new evolutionary steps. Complexity Science, Living Systems, and Reflexing Interfaces: New Models and Perspectives is a collection of research provided by academics and scholars aiming to introduce important advancements in areas such as artificial intelligence, evolutionary computation, neural networks, and much more. This scholarly piece will provide contributions that will define the line of development in complexity science.

Language learning is one of the most rapidly changing disciplines. Along with changing perspectives in learning in the field of Second Language Acquisition, information communication technology (ICT) has also created many learning paths to assist the process of learning a second language (L2). In such an ever-evolving environment, teachers, researchers, and professionals of a diverse number of disciplines need access to the most current information about research on the field of computer-enhanced language acquisition and learning.""Handbook of Research on Computer-Enhanced Language Acquisition and Learning"" provides comprehensive coverage of successful translation of language learning designs utilizing ICT in practical learning contexts. This authoritative reference source amasses research from over XX authors from XX countries, offering researchers, scholars, students, and professionals worldwide, access to the latest knowledge related to research on computer-enhanced language acquisition and learning.

Database technology can be used for various ends, ranging from promotion of democracy to strengthening of nationalism to shoring up authoritarian regimes through misinformation. Its use affects every layer of society: from individuals to households to local governments, and is a consuming issue in the United States Governments stance on privacy, security, and technology.

In recent years, innovative technologies have lead to rapid progression and accelerated research studies within the field of end-user computing. ""Computational Advancements in End-User Technologies: Emerging Models and Frameworks"" contains leading research and practices into the advancement, significance, and comprehensive nature of end-user computing. A defining collection of significant tools, applications, and methodologies within this expanding field of study, this publication provides academicians, researchers, and practitioners with a complete and practical resource of expert international findings.

In bringing to the readers the book 5G Multimedia Communication: Technology, Multiservices and Deployment, the aim is to present current work and direction on the challenging subject of multimedia communications, with theoretical and practical roots. The past two decades have witnessed an extremely fast evolution of mobile cellular network technology. The fifth generation of mobile wireless systems has achieved the first milestone toward finalization and deployment by 2020. This is vital to the development of future multimedia communications. Also, it is necessary to consider 5G technology from the performance point of view by analyzing network capabilities to the operator and to the end user in terms of data rate, capacity, coverage, energy efficiency, connectivity and latency. The book is divided into three major parts with each part containing four to seven chapters: * Critical enabling technology * Multiservices network * Deployment scenarios The first part discusses enabling technologies, such as green communication, channel modeling, massive and distributed MIMO and ML-based networks. In the second part, different methodologies and standards for multiservices have been discussed. Exclusive chapters have been dedicated to each of the open research challenges such as multimedia operating in 5G environment, network slicing optimization, mobile edge computing, mobile video multicast/broadcast, integrated satellite and drone communication. The third part paved the way to deployment scenarios for different innovative services including integration of a multienergy system in smart cities, intelligent transportation systems, 5G connectivity in the transport sector, healthcare services, 5G edge-based video surveillance and challenges of connectivity for massive IoT in 5G and beyond systems. The book is written by experts in the field who introduced scientific and engineering concepts, covering the 5G multimedia communication areas. The book can be read cover-to-cover or selectively in the areas of interest for the readers. Generally, the book is intended for novel readers who could benefit from understanding general concepts, practitioners who seek guidance into the field and senior-level as well as graduate-level engineering students in understanding the process of today's wireless multimedia communications.

The information economy continues to challenge businesses in many ways with information technologies and globalization leading to blurred the organizational boundaries. ""Infonomics for Distributed Business and Decision-Making Environments: Creating Information System Ecology"" provides greater understanding of issues, challenges, trends, and technologies effecting the overall utilization and management of information in modern organizations around the world. A leading field resource, this innovative collection addresses the emerging issues in information resources economics and its applications.

Strategists describe networking and being able to access knowledge as the leading path to gaining a competitive advantage. ""Cultural Implications of Knowledge Sharing, Management and Transfer: Identifying Competitive Advantage"" gathers contributions of scholars from multi-disciplinary fields to illustrate, compare, and discuss models, perspectives, and approaches involved in the distribution, administration, and transmission of knowledge across organizations. Containing research from leading international experts, this defining reference collection offers diverse viewpoints and depicts possible trajectories of future development in achieving competitive advantage.

Advances in information technologies have allowed end users to become a fundamental element in the development and application of computing technology and digital information.

This is an overview of the end-to-end data cleaning process. Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multiple surveys show that dirty data is the most common barrier faced by data scientists. Not surprisingly, developing effective and efficient data cleaning solutions is challenging and is rife with deep theoretical and engineering problems. This book is about data cleaning, which is used to refer to all kinds of tasks and activities to detect and repair errors in the data. Rather than focus on a particular data cleaning task, this book describes various error detection and repair methods, and attempts to anchor these proposals with multiple taxonomies and views. Specifically, it covers four of the most common and important data cleaning tasks, namely, outlier detection, data transformation, error repair (including imputing missing values), and data deduplication. Furthermore, due to the increasing popularity and applicability of machine learning techniques, it includes a chapter that specifically explores how machine learning techniques are used for data cleaning, and how data cleaning is used to improve machine learning models. This book is intended to serve as a useful reference for researchers and practitioners who are interested in the area of data quality and data cleaning. It can also be used as a textbook for a graduate course. Although we aim at covering state-of-the-art algorithms and techniques, we recognize that data cleaning is still an active field of research and therefore provide future directions of research whenever appropriate.