Agent technology has recently become one of the most vibrant and fastest growing areas in information technology. And advanced digital communicatiion is a central enabling technology for the coming information society. So software agents and their exploitation for future communication systems are attracting particular attention from the research and development community as well as from economic and user communities interested in everyday private and professional digital communication applications. This monograph-like anthology is the first systematic introduction to software agents and future communication systems. Fifteen coherently written chapters by leading software agent researchers provide complementary coverage of the relevant issues. Multi-agent systems and mobile agent approaches are presented in a well-balanced way and applied to most important topics in future communication systems. In addition, the volume editors have provided a detailed introductory survey chapters.

When traditional web development techniques don't cut it, try React. Use React to create highly interactive web pages faster and with fewer errors. With a little JavaScript experience under your belt, you'll be up and running in no time creating dynamic web applications. Craft isolated components that make your apps easier to develop and maintain, with plenty of guidance on best practices. Set up automated tests, and make pages render fast for your users. See how to use your React skills to integrate with other front-end technologies when needed. Dive right into React by defining components, the basic building blocks of a React application. Integrate modern JavaScript language features such as classes and arrow functions in your app. Analyze the relationships in your data to isolate state, and sync the data model with what your users see. Once you're familiar with how a React application works, organize your code base with modules. Configure a production build and deliver your app as efficiently as possible with Webpack. Master testing with React-specific advice and tools to catch the most bugs with the least amount of code. Learn the basics of the Redux library. Define actions and manage an immutable central state with reducers, then connect Redux to your React components to build even larger and more complex interfaces. Package your React code as a standalone widget so anyone can use it in their own applications. Reuse existing JavaScript code in your React components, and build a new React view on top of an existing data model shared with a legacy application. When you finish this book, you'll be well on your way to solving your front-end problems with React. What You Need: Node.js 6.x or later, and a modern web browser

This practical book presents a proven decision-making process to help IT and business managers select the off-the-shelf software product that best fits the needs of their organisation, whether in the commercial or public sector. Offering a structured approach to managing stakeholders, requirements and candidate IT vendors, this practical 'how-to' guide will help deliver a rigorous, defensible decision within an aggressive timescale.

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.*The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4.0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniques for energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4.0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5.0 era; and supply chain risk management under coronavirus Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4.0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19 Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains *The conference was held online.

Companies understand that their ability to compete is tied directly to their ability to leverage the very latest technology advances. Fortunately, deploying new technology has never been easier, primarily due to early maturity and cloud delivery. One approach that is helping companies rapidly pilot and affordably deploy new technologies is ready technology, a new category of information technology (IT). This book explains the ready technology adoption process in detail, enabling companies to exploit new technology immediately and effectively. In this book, the author challenges the traditional "requirements-first/technology-second" approach to technology deployment. Espousing a "technology-first/requirements-second" approach, the author explains how business solutions are "discovered" by deploying-not studying-ready technology. The book covers the latest trends and processes in ready technology. It also describes the characteristics of ready companies and recommends ready technology pilots that should be launched by the following industries: higher education, retail, and healthcare.

This timely edited collection offers a multidisciplinary perspective on social commerce, a phenomenon that has gained increasing interest over the last 8 years. Investigating how social media can be used to generate value for brands beyond customer relationship purposes, the skilled authors explore how social media users co-create value for businesses, influence other consumers and generate electronic word-of-mouth (eWOM). Providing insights from practitioners and academics, this book goes further than simply exploring e-commerce and social media, and addresses the real relevance of social commerce in today's business landscape. With a selection of contemporary case studies and a Foreword written by Inthefrow's creator, Victoria Magrath, Social Commerce will be an engaging read for those studying consumer behaviour, online marketing, and e-commerce.

This book is for people worrying about their sinking ship. Based on experience, it is a guide for navigating the blockers, buzzwords and bloody-mindedness that doom any analogue organisation trapped into thinking that while the internet has changed the world, it won't change their world. Companies that grew up on the web have changed our expectations of the services we rely on. We demand simplicity, speed and low cost. Organizations founded before the Internet aren't keeping up - despite spending millions on IT, marketing and 'innovation'. This revised, expanded second edition of Digital Transformation at Scale is a guide to building a digital institution. It explains how a growing band of reformers in businesses and governments around the world have helped their organizations pivot to this new way of working, and what lessons others can learn from their experience. It is based on the authors' experience designing and helping to deliver the UK's Government Digital Service (GDS). The GDS was a new institution made responsible for the digital transformation of government, designing public services for the Internet era. It snipped GBP4 billion off the government's technology bill, opened up public sector contracts to thousands of new suppliers, and delivered online services so good that citizens chose to use them over the offline alternatives, without a big marketing campaign. Other countries and companies noticed, with the GDS model now being copied around the world.

This book constitutes the refereed proceedings of the 21st IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2020, held in Valencia, Spain, in November 2020. The conference was held virtually.The 53 full papers were carefully reviewed and selected from 135 submissions. They provide a comprehensive overview of major challenges and recent advances in various domains related to the digital transformation and collaborative networks and their applications with a strong focus on the following areas related to the main theme of the conference: collaborative business ecosystems; collaborative business models; collaboration platform; data and knowledge services; blockchain and knowledge graphs; maintenance, compliance and liability; digital transformation; skills for organizations of the future; collaboration in open innovation; collaboration in supply chain; simulation and analysis in collaborative systems; product and service systems; collaboration impacts; boosting sustainability through collaboration in Agri-food 4.0; digital innovation hubs for digitalizing European industry; and collaborative networks for health and wellness data management.

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.

Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted form this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are seen in finance (banking, brokerage, insurance), marketing (customer relationships, retailing, logistics, travel), as well as in manufacturing, health care, fraud detection, home-land security, and law enforcement.

The smart way to learn Microsoft SharePoint 2013-one step at a time! Experience learning made easy-and quickly teach yourself how to boost team collaboration with SharePoint 2013. With Step by Step, you set the pace-building and practicing the skills you need, just when you need them! Customize your team site's layout, features, and apps Manage and share ideas, documents, and data Capture and organize content into lists and libraries Automate business processes with built-in workflows Use social features to communicate and collaborate Publish content using enhanced web content management

Corporations across the globe are increasingly considering the importance of user experience and business process design in creation of Web information systems. ""Designing Complex Web Information Systems: Integrating Evolutionary Process Engineering"" provides an overview of modern Web application technologies useful to business designers. Containing advanced findings from across the globe, this ""Premier Reference Source"" presents cutting-edge research on user experience design methodologies and the design of business processes.

Many factors that can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimisation techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

Web 2.0 and Beyond: Principles and Technologies draws on the author 's iceberg model of Web 2.0, which places the social Web at the tip of the iceberg underpinned by a framework of technologies and ideas. The author incorporates research from a range of areas, including business, economics, information science, law, media studies, psychology, social informatics and sociology. This multidisciplinary perspective illustrates not only the wide implications of computing but also how other areas interpret what computer science is doing.

After an introductory chapter, the book is divided into three sections. The first one discusses the underlying ideas and principles, including user-generated content, the architecture of participation, data on an epic scale, harnessing the power of the crowd, openness and the network effect and Web topology. The second section chronologically covers the main types of Web 2.0 services blogs, wikis, social networks, media sharing sites, social bookmarking and microblogging. Each chapter in this section looks at how the service is used, how it was developed and the technology involved, important research themes and findings from the literature. The final section presents the technologies and standards that underpin the operation of Web 2.0 and goes beyond this to explore such topics as the Semantic Web, cloud computing and Web Science.

Suitable for nonexperts, students and computer scientists, this book provides an accessible and engaging explanation of Web 2.0 and its wider context yet is still grounded in the rigour of computer science. It takes readers through all aspects of Web 2.0, from the development of technologies to current services.

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of "Black box" algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

The industry's most outspoken and insightful critic explains how the software industry REALLY works.

In Great Software Debates, Al Davis, shares what he has learned about the difference between the theory and the realities of business and encourages you to question and think about software engineering in ways that will help you succeed where others fail.

In short, provocative essays, Davis fearlessly reveals the truth about process improvement, productivity, software quality, metrics, agile development, requirements documentation, modeling, software marketing and sales, empiricism, start-up financing, software research, requirements triage, software estimation, and entrepreneurship. He will get you thinking about:

• The danger of following trends and becoming a 'software lemming'
• Is software development art or engineering?
• How to survive management mistakes
• The bizarre world of software estimation
• How to succeed as software entrepreneur
• How to resolve incompatible schedules and requirements

If you are in the software industry and do not know which way to turn, Great Software Debates provides valuable and insightful advice. Whether you are a software developer, software manager, software executive, entrepreneur, requirements writer, architect, designer, or tester, you will find no shortage of sound, palatable advice.

Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. Organized by short, clear descriptive entries, the book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, multivariate methods, and the creation of graphics. Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The text includes convenient indices organized by topic and SAS syntax. Demonstrating the SAS code in action and facilitating exploration, the authors present example analyses that employ a single data set from the HELP study. They also provide several case studies of more complex applications. Data sets and code are available for download on the book's website. Helping to improve your analytical skills, this book lucidly summarizes the features of SAS most often used by statistical analysts. New users of SAS will find the simple approach easy to understand while more expert SAS programmers will appreciate the invaluable source of task-oriented information.

Applies the Principles of Informatics to the Pharmacy Profession Emphasizes Evidence-Based Practice and Quality Improvement Approaches Leading the way in the integration of information technology with healthcare, Pharmacy Informatics reflects some of the rapid changes that have developed in the pharmacy profession. Written by educators and professionals at the forefront in this field, the book shows how informatics plays a central role in providing productive and efficient healthcare services. After defining pharmacy informatics, the text explores the information and biomedical technologies that are the drivers of change. It then discusses the basics of maintaining the reliability and security of computers in a connected world, the need for standardization in the healthcare industry, and effective strategies for searching, evaluating, and managing the wide variety of information resources available today. The next section covers the types of information systems that exist in hospitals and pharmacies, including bar coding. The book then presents tools for evidence-based practice, computerized clinical pharmacokinetics methods, clinical decision support, and data mining methods to improve therapy, reduce adverse outcomes, and cut costs. The final section examines various developments driven by the Internet and how current informatics solutions must evolve to maximize their potential. The continual growth and increasing complexity of therapeutic information necessitate new ways for effectively handling medical data and ultimately providing better patient care. This book discusses how these changes affect pharmacy students and practicing pharmacists, preparing them for what lies ahead in this evolving field.

Choice Outstanding Academic Title

Software is more than a set of instructions for computers: it enables (and disables) political imperatives and policies. Nowhere is the potential for radical social and political change more apparent than in the practice and movement known as "free software." Free software makes the knowledge and innovation of its creators publicly available. This liberation of code celebrated in free software s explicatory slogan "Think free speech, not free beer" is the foundation, for example, of the Linux phenomenon.

Decoding Liberation provides a synoptic perspective on the relationships between free software and freedom. Focusing on five main themes the emancipatory potential of technology, social liberties, the facilitation of creativity, the objectivity of computing as scientific practice, and the role of software in a cyborg world the authors ask: What are the freedoms of free software, and how are they manifested? This book is essential reading for anyone interested in understanding how free software promises to transform not only technology but society as well.

"Design for software-intensive systems requires adequate methodology and tool support in order for researchers and practitioners to make use of and develop very large and complex systems. Software engineering environments help reduce the design costs of very large and intricate software systems while improving the quality of the software produced. Designing Software-Intensive Systems: Methods and Principles addresses the complex issues associated with software engineering environment capabilities for designing real-time embedded software systems. This groundbreaking work provides relevant theoretical foundations, principles, methodologies, frameworks, and the latest research findings in the field to deliver a superior knowledge base for those in computer science, software engineering, and fields alike."

Information is currency. In today s world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.
In "Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information," Danette McGilvray presents a systematic, proven approach to improving and creating data and information quality within the enterprise. She describes a methodology that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. Her trademarked "Ten Steps" approach applies to all types of data and to all types of organizations.
* Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online."

Image Processing with MATLAB (R): Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB (R) algorithms. It describes classical as well emerging areas in image processing and analysis. Providing many unique MATLAB codes and functions throughout, the book covers the theory of probability and statistics, two-dimensional fast Fourier transform, nonlinear diffusion filtering, and partial differential equation (PDE)-based image denoising techniques. It presents intensity-based image segmentation methods, including thresholding techniques as well as K-means and fuzzy C-means clustering techniques. The authors also explore Markov random field (MRF)-based image segmentation, boundary and curvature analysis methods, and parametric and geometric deformable models. The final chapters focus on three specific applications of image processing and analysis. Reducing the need for the trial-and-error way of solving problems, this book helps readers understand advanced concepts by applying algorithms to real-world problems in medicine and biology. A solutions manual is available for instructoes wishing to convert this reference to classroom use.

Say hello to Office productivity with this one-stop reference With Office 2021 All-in-One For Dummies, you can get up and running with Microsoft's legendary software suite. This update covers all the tweaks you can find in the latest version of Word, Excel, PowerPoint, Outlook, and Teams. You'll also learn how to make these apps work harder for you, because we dig deep into the tips and features that casual Office users might not know about. This edition also offers expanded coverage of Teams and other collaborative tools, so you can nail working from home, or just get a few of those meetings out of the way without having to leave your desk. How can you quickly give documents the same format in Word? What was that one useful Excel function, again? And how does setting up a meeting on Teams work? Office 2021 All-in-One For Dummies serves up quick and simple answers to these questions, along with hundreds of other answers you're expected to know when you work in Office. Learn how Microsoft Office works and get the most out of Word, Excel, PowerPoint, Outlook, and Teams Make amazing charts and graphs that you can plug into your documents, spreadsheets, and presentations Get better at working collaboratively with file sharing options and other neat features Do more, faster with expert tips and guidance on the full suite of Office software for 2021 Whether you're new to Office or just need a refresher for the newest updates, the nine mini-books inside are your keys to getting stuff done.