- Table View
- List View
Das globale Netz: Wirkungsweise und Grenzen der Datenübertragung im globalen Netz (essentials)
by Volkmar BrücknerVolkmar Brückner gibt einen Überblick über die Datenübertragung im Festnetz, durch Mobilfunk oder Satelliten sowie über globale mobile und optische Netze. Grenzen und Fehlerquellen für das Festnetz und die Übertragung bei der mobilen Kommunikation sowie Problemfelder in Technik und Ökologie werden angesprochen.
Das gute Webinar: Das ganze Know How für bessere Online-Präsentationen, ein Praxisratgeber: Online präsentieren und Kunden gewinnen (X.media.press)
by Anita Hermann-Ruess Max OttIn diesem Buch lernen Sie anschaulich und praxisnah, wie Sie ein gutes Webinar organisieren, produzieren und live durchführen.Sie erhalten Antworten auf die Fragen: Was sind Webinare überhaupt? Wie können Sie das Format „Webinar“ in Ihrem Unternehmen sinnvoll einsetzen? Welche Technik benötigen Sie für gute Webinare? Wie produzieren Sie Präsentationen onlinegerecht? Wie halten Sie ein Webinar überzeugend und fesselnd live? Wie nutzen andere Unternehmen und Organisationen dieses Format heute schon erfolgreich?Sechs Kapitel führen Sie in die Welt der Webinare ein mit vielen Materialien, Checklisten, Plänen und Inspirationshilfen. Auf einer extra Website zum Buch erhalten Sie die wichtigsten Vorlagen zum Herunterladen, ein Bonuskapitel zum Thema Onlinemarketing, Beispiel-Webinare zum Anschauen und viele weitere Informationen.
Das kreative Volumen: Wie Designer kreativen Freiraum für Rezipienten interaktiver Produkte schaffen
by Jörg Burbach Nadine TrautzschWie weit kann ein Spiel gehen, um uns in seine Welt eintauchen zu lassen? Das theoretische Modell des Kreativen Volumens betrachtet dazu alle narrativen und ludischen Elemente in ihrer Gesamtheit. Dieses Konzept lässt sich auf das Entwickeln und Erleben von Videospielen anwenden, indem es nicht nur Immersion und Einfühlung, sondern auch die subtile Kunst des Weglassens betont. Das Buch vereint disziplinübergreifende Ansätze, um kreative Prozesse sowohl auf Seiten der Entwickler:innen als auch der Spieler:innen zu fördern. Kern des Modells sind die drei Dimensionen: Kreatives Fundament (durch die Entwickler:innen gestaltete Elemente), Kreatives Potenzial (die schöpferische Interaktion der Spieler:innen) und Kreative Resonanz (Auswirkungen des Spiels über dessen Grenzen hinaus).Es bietet praxisorientierte Leitlinien, wie gestalterische Entscheidungen die emotionale, narrative und soziale Interaktion im Spiel formen können. Es zeigt auf, wie durch bewusste Gestaltung Freiräume für kreative Entfaltung geschaffen und reflektiert werden können und wir somit Spiele zu kulturellen Artefakten und Resonanzräumen entwickeln können. Mit Blick auf die zunehmende Komplexität interaktiver Produkte schafft das kreative Volumen ein Vokabular und einen Rahmen, um Spielentwicklung strategischer, wirkungsvoller und inspirierender zu gestalten. Die Zielgruppe umfasst Game Designer:innen, Entwickler:innen, Künstler:innen und Forscher:innen, die ihr Verständnis von kreativer Interaktivität vertiefen und die gestalterische Praxis auf ein neues Level heben möchten. Begleitmaterial unter https://www.kreatives-volumen.de
Das verflixte Selbst: Menschliche Eigenwilligkeit und Künstliche Intelligenz
by Heiko ReischMenschen schreiben sich ein Selbst zu. Die Wissenschaften haben Mühe zu sagen, was das ist und wie es zustande kommt. Sie sind sich aber sicher, dass wir es haben und brauchen. Für Forscher ist es jedoch kaum greifbar und deshalb ein verflixtes Problem. Daran wird die Entwicklung einer starken KI scheitern, Menschen bleiben etwas anderes.
Das Öffentliche und das Private: Informationstechnologische Entwicklungen und deren Einfluss auf öffentliches und privates Leben (Die blaue Stunde der Informatik)
by Wolfgang OsterhageTechnologische Entwicklungen beeinflussen öffentliches Leben in Politik und Wirtschaft, aber auch unser eigenes, privates Dasein. Gewollt oder ungewollt kommen wir täglich – und sogar des Nachts, wenn wir schlafen – mit Technologien in Berührung, die wir selbst nur bedingt kontrollieren können oder wollen. Es gibt keine Lebenslage, in denen eine Berührung mit elektronischen Systemen nicht gegeben ist. Insofern hat die Menschheit ihre informatorische Unschuld für immer verloren, bis hin zum Missbrauch persönlichen Identitäten in sozialen Netzen, in denen ein Leben in Scheinidentitäten stattzufinden scheint. Information und Kommunikation sind Wirtschaftsfaktoren geworden, die am Ende des Industriezeitalters und am Beginn des Wissenszeitalters zu stehen scheinen. Das technisch Hergestellte wird dem Organischen immer ähnlicher. Natur und Maschinen verschmelzen und entziehen sich unserer Kontrolle. Man tut, was dem System nutzt. Das Leben wird zu einer Risiko- und Wahrscheinlichkeitsrechnung, und das Ich nur noch zu einem Interface.
Dashboard Design (River Publishers Series in Computing and Information Science and Technology)
by Michael Burch Marco SchmidInteractive visualization and visual analytics tools have been designed and developed in the past and will be developed in the future as well. In each application domain in which data is measured, generated, and recorded we see a potential candidate for an interactive visualization tool with the goal to find insights and knowledge in the data. This knowledge can be found either visually by humans’ interventions or algorithmically by the machine, in the best case by applying both concepts in combination as in visual analytics. One of the easiest ways to get an interactive visualization tool running is by means of dashboards, typically implemented as webpages that can run in a web browser and are accessible online, creating some kind of web-based solution. This book describes ways to design and implement dashboards based on the programming language Python, the graphics library Plotly, and Dash. The readers can use the provided dashboard codes as a starting point and extend the functionality and features on their desire. Technical topics discussed in the book include: Design in visualization Interaction principles in information visualization User interface design Linking Python, Dash, and Plotly Coding in Python Dashboard examples with Python code.
Dashboards for Excel
by Jordan Goldmeier Purnachandra DuggiralaThe book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently--that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively. In this book, you learn how to: Apply data visualization principles for more effective dashboards Employ dynamic charts and tables to create dashboards that are constantly up-to-date and providing fresh information Use understated yet powerful formulas for Excel development Apply advanced Excel techniques mixing formulas and Visual Basic for Applications (VBA) to create interactive dashboards Create dynamic systems for decision support in your organization Avoid common problems in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query What you'll learn Learn the visualization tools, charts, tables, and graphs important to management. Understand what management doesn't want to see in a report Turn around dashboards faster and cheaper than ever before Understand the key role dashboards play in an organization Analyze real-world dashboards to apply important features to your own organization Utilize understated, but powerful, Excel formulas and VBA code Avoid common pitfalls in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query Who this book is for This book is for many people. It's for the developer who isn't satisfied by accepting Excel's so-called limitations, who feels that with some creativity, spreadsheets can become a powerful and informative decision engine. It's for the Excel user who has spent hours--even outside of work--experimenting with Excel formulas and macros in an attempt to find a better, more efficient way to complete a task. It's for the user who believes in the power of the spreadsheet. Table of Contents Part I. Dashboards and Data Visualization 1. Introduction to Dashboard and Decision Support Development 2. A Critical View of Information Visualization 3. The Principles of Data Visualization in Microsoft Excel 4. The Excel Data Presentation Library Part II. Excel Dashboard Design Tools and Concepts 5. Getting Started: Thinking Outside the Cell 6. Visual Basic for Applications for Excel, a Refresher 7. Avoiding Common Pitfalls in Development and Design 8. The Elements of Good Excel Dashboards and Decision Support Systems Part III. Formulas, Controls, and Charts 9. Introducing Formula Concepts 10. Advanced Formula Concepts 11. Metrics: Performance and Context 12. Charts with Heart (or, How to Avoid a Chart Attack) 13. Creating an Interactive Gantt Chart Dashboard 14. An Interactive Gantt Chart Dashboard, Data Visualization 15. An Interactive Gantt Chart Dashboard, Data Details on Demand Part IV. From User Interface to Presentation 16. Working with Form Controls 17. Getting Input from Users 18. Storage Patterns for User Input 19. Building for Sensitivity Analysis 20. Perfecting the Presentation Part V. Data Models, PowerPivot, and Power Query 21. Data Model Capabilities of Excel 2013 22. Advanced Modeling with Slicers, Filters, and Pivot Tables 23. Introduction to Power Query 24. Introduction to PowerPivot
Dashcode For Dummies
by Jesse FeilerCreate widgets and Web apps for the iPhone, iPad, and Mac OS X with DashcodeDashcode is a software application that makes it quick and easy to create dashboard widgets and Web apps for Mac computers, iPhone, and iPad. Widgets and Web apps connect users with content from the Web such as Twitter feeds, movie showtimes, news updates, and more. Dashcode provides a library of graphic elements and standard code that you just drag-and-drop into your app, and this guide shows you how to use it to bring your idea to life. Learn to create, customize, and distribute your apps, even if you're a programming novice.Dashcode provides a quick and easy way to create dashboard and Web widgets for Apple devicesThis guide shows you how to use the built-in Dashcode tools, including graphical elements and functional code, to create Web apps using your dataLearn to customize your app, add media, retrieve data from Web services for your app, and deploy your widgetsEven if you're new to programming, you can learn to create and distribute widgets with DashcodeDashcode For Dummies gets you up and running with this cool tool for creating unique Web apps and dashboard widgets.
Data & AI Imperative: Designing Strategies for Exponential Growth
by Lillian PiersonUnlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth. With over two decades of experience, Pierson unveils her proprietary STAR framework through which you'll learn to survey, take stock of, and assess your company's current state. Finally, you'll be guided on how to recommend strategies that drive growth via the execution of optimally positioned data- and AI- intensive projects or products that directly improve your business bottom line. From conception to execution, learn to: Identify high-impact opportunities for data or AI interventions within your business. Assess your organization's readiness and data literacy to ensure successful outcomes. Implement practical, effective tactics for overseeing your data-intensive projects, from strategic plans to profitable realities. Develop and deploy AI and data strategies that exceed your business goals. While ideal for executives, managers, and other leaders of data- or AI-intensive companies, The Data & AI Imperative is also invaluable to data and technical professionals who aspire to elevate their impact by turning technical expertise into strategic leadership success.
Data Abstraction and Problem Solving with Java: Walls & Mirrors (3rd Edition)
by Janet J. Prichard Frank CarranoThe book aims to give students a superior foundation in data abstraction, object-oriented programming, and other modern problem-solving techniques.
Data Acquisition Systems: From Fundamentals to Applied Design
by Maurizio Di Paolo EmilioThis book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer. The author takes a problem-solving approach to data acquisition, providing the tools engineers need to use the concepts introduced. Coverage includes sensors that convert physical parameters to electrical signals, signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values and analog-to-digital converters, which convert conditioned sensor signals to digital values. Readers will benefit from the hands-on approach, culminating with data acquisition projects, including hardware and software needed to build data acquisition systems.
Data Acquisition Using LabVIEW
by Behzad EhsaniTransform physical phenomena into computer-acceptable data using a truly object-oriented language About This Book • Create your own data acquisition system independently using LabVIEW and build interactive dashboards • Collect data using National Instrument's and third-party, open source, affordable hardware • Step-by-step real-world examples using various tools that illustrate the fundamentals of data acquisition Who This Book Is For If you are an engineer, scientist, experienced hobbyist, or student, you will highly benefit from the content and examples illustrated in this book. A working knowledge of precision testing, measurement instruments, and electronics, as well as a background in computer fundamentals and programming is expected. What You Will Learn • Create a virtual instrument which highlights common functionality of LabVIEW • Get familiarized with common buses such as Serial, GPIB, and SCPI commands • Staircase signal acquisition using NI-DAQmx • Discover how to measure light intensity and distance • Master LabVIEW debugging techniques • Build a data acquisition application complete with an installer and required drivers • Utilize open source microcontroller Arduino and a 32-bit Arduino compatible Uno32 using LabVIEW programming environment In Detail NI LabVIEW's intuitive graphical interface eliminates the steep learning curve associated with text-based languages such as C or C++. LabVIEW is a proven and powerful integrated development environment to interact with measurement and control hardware, analyze data, publish results, and distribute systems. This hands-on tutorial guide helps you harness the power of LabVIEW for data acquisition. This book begins with a quick introduction to LabVIEW, running through the fundamentals of communication and data collection. Then get to grips with the auto-code generation feature of LabVIEW using its GUI interface. You will learn how to use NI-DAQmax Data acquisition VIs, showing how LabVIEW can be used to appropriate a true physical phenomenon (such as temperature, light, and so on) and convert it to an appropriate data type that can be manipulated and analyzed with a computer. You will also learn how to create Distribution Kit for LabVIEW, acquainting yourself with various debugging techniques offered by LabVIEW to help you in situations where bugs are not letting you run your programs as intended. By the end of the book, you will have a clear idea how to build your own data acquisition system independently and much more. Style and approach A hands-on practical guide that starts by laying down the software and hardware foundations necessary for subsequent data acquisition-intensive chapters. The book is packed full of specific examples with software screenshots and schematic diagrams to guide you through the creation of each virtual instrument.
Data Acquisition and Process Control Using Personal Computers
by Ozkul""Covers all areas of computer-based data acquisition--from basic concepts to the most recent technical developments--without the burden of long theoretical derivations and proofs. Offers practical, solution-oriented design examples and real-life case studies in each chapter and furnishes valuable selection guides for specific types of hardware.
Data Action: Using Data for Public Good
by Sarah WilliamsHow to use data as a tool for empowerment rather than oppression.Big data can be used for good--from tracking disease to exposing human rights violations--and for bad--implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Too often data has been used--and manipulated--to make policy decisions without much stakeholder input. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. This approach creates trust and co-ownership in the data by opening the process to those who know the issues best.
Data Algorithms
by Mahmoud ParsianIf you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You'll learn how to implement the appropriate MapReduce solution with code that you can use in your projects.Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark.Topics include:Market basket analysis for a large set of transactionsData mining algorithms (K-means, KNN, and Naive Bayes)Using huge genomic data to sequence DNA and RNANaive Bayes theorem and Markov chains for data and market predictionRecommendation algorithms and pairwise document similarityLinear regression, Cox regression, and Pearson correlationAllelic frequency and mining DNASocial network analysis (recommendation systems, counting triangles, sentiment analysis)
Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
by Mahmoud ParsianApache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.With this book, you will:Learn how to select Spark transformations for optimized solutionsExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()Understand data partitioning for optimized queriesBuild and apply a model using PySpark design patternsApply motif-finding algorithms to graph dataAnalyze graph data by using the GraphFrames APIApply PySpark algorithms to clinical and genomics dataLearn how to use and apply feature engineering in ML algorithmsUnderstand and use practical and pragmatic data design patterns
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
by Mahmoud ParsianIf you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects.Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark.Topics include:Market basket analysis for a large set of transactionsData mining algorithms (K-means, KNN, and Naive Bayes)Using huge genomic data to sequence DNA and RNANaive Bayes theorem and Markov chains for data and market predictionRecommendation algorithms and pairwise document similarityLinear regression, Cox regression, and Pearson correlationAllelic frequency and mining DNASocial network analysis (recommendation systems, counting triangles, sentiment analysis)
Data Analysis Using SAS Enterprise Guide
by Lawrence S. Meyers Glenn Gamst A. J. GuarinoThis book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
Data Analysis Using SAS Enterprise Guide
by Lawrence S. Meyers Glenn Gamst A. J. Guarino Lawrence S. Meyers Glenn GamstThis book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
Data Analysis Using SQL and Excel
by Gordon S. LinoffUseful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.
Data Analysis and Business Modeling with Excel 2013
by David RojasManage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use informationAbout This BookCreate formulas to help you analyze and explain findingsDevelop interactive spreadsheets that will impress your audience and give them the ability to slice and dice dataA step-by-step guide to learn various ways to model data for businesses with the help of Excel 2013Who This Book Is ForIf you want to start using Excel 2013 for data analysis and business modeling and enhance your skills in the data analysis life cycle then this book is for you, whether you're new to Excel or experienced.What You Will LearnDiscover what Excel formulas are all about and how to use them in your spreadsheet developmentIdentify bad data and learn cleaning strategiesCreate interactive spreadsheets that engage and appeal to your audienceLeverage Excel's powerful built-in tools to get the median, maximum, and minimum values of your dataBuild impressive tables and combine datasets using Excel's built-in functionalityLearn the powerful scripting language VBA, allowing you to implement your own custom solutions with easeIn DetailExcel 2013 is one of the easiest to use data analysis tools you will ever come across. Its simplicity and powerful features has made it the go to tool for all your data needs. Complex operations with Excel, such as creating charts and graphs, visualization, and analyzing data make it a great tool for managers, data scientists, financial data analysts, and those who work closely with data. Learning data analysis and will help you bring your data skills to the next level.This book starts by walking you through creating your own data and bringing data into Excel from various sources. You'll learn the basics of SQL syntax and how to connect it to a Microsoft SQL Server Database using Excel's data connection tools. You will discover how to spot bad data and strategies to clean that data to make it useful to you. Next, you'll learn to create custom columns, identify key metrics, and make decisions based on business rules. You'll create macros using VBA and use Excel 2013's shiny new macros. Finally, at the end of the book, you'll be provided with useful shortcuts and tips, enabling you to do efficient data analysis and business modeling with Excel 2013.Style and approachThis is a step-by-step guide to performing data analysis and business modelling with Excel 2013, complete with examples and tips.
Data Analysis and Classification: Methods and Applications (Studies in Classification, Data Analysis, and Knowledge Organization)
by Krzysztof Jajuga Marek Walesiak Krzysztof NajmanThis volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.
Data Analysis and Optimization for Engineering and Computing Problems: Proceedings of the 3rd EAI International Conference on Computer Science and Engineering and Health Services (EAI/Springer Innovations in Communication and Computing)
by Pandian Vasant Igor Litvinchev Jose Antonio Marmolejo-Saucedo Roman Rodriguez-Aguilar Felix Martinez-RiosThis book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.
Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday (Springer Optimization and Its Applications #202)
by Boris Goldengorin Sergei KuznetsovThis book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.
Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library #61)
by Witold Pedrycz Animesh Adhikari Jhimli AdhikariPattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.