"R for Business Analytics" looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics.

This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.

The book utilizes Albert Einstein s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimovwas a better writer in spreading science than any textbook or journal author."

Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical methods. It contains up-to-date research results in the theory of robust statistics

Treats computational aspects and algorithms and shows interesting and new applications.

Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language.The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.

Information-Enabled Organization Transformation and Outsourcing.- Wirtschaftsinformatik: Von den Moden zum Trend.- MEMO: Eine werkzeuggestutzte Methode zum integrierten Entwurf von Geschaftsprozessen und Informationssystemen.- Integrierte Informationssysteme durch Modellierung von Geschaftsprozessen.- Unternehmensmodellierung - Basis fur Reengineering und Optimierung von Geschaftsprozessen.- Geschaftsprozess-Management und Qualitatssicherung am Beispiel des WIS-Projekts.- Strukturanalogien in Informationsmodellen.- Objektorientierte Spezifikation betrieblicher Informationssysteme.- Semantische Objektmodellierung anwendungsorientierter Informations systeme vom Standpunkt des Sicherheitsmanagements.- Vom Informationsmodell zum Anwendungssystem - Nutzenpotentiale fur den effizienten Einsatz von Informationssystemen.- Verfahren zur werkzeuggestutzten Integration von Datenbankschemata.- Formale Validierung von Verdichtungsoperationen in konzeptionellen Datenmodellen.- Simulation hierarchischer objekt- und transaktionsorientierter Modelle.- Aufbau einer gesamtbankweiten Geschaftsdatenbank als Grundlage fur ein globales Steuerungsinstrumentarium des Treasury und Controlling bei Sal. Oppenheim Jr. & Cie., Koeln.- Ein Entscheidungsmodell zur Automatisierung und Standardisierung in betrieblichen Informationssystemen.- Optimierung von Client/Server-Konfigurationen.- Die strategischen Implikationen von Informations- und Kommunikations technologien fur das Bankgeschaft.- Einsatz Neuronaler Netze in der Finanzprognose und -analyse.- Umgestaltung der Geschaftsprozesse und der betrieblichen Anwendungs systeme fur ein weltweit tatiges Unternehmen des Chemie-Anlagebaus.- Kundenorientierte Informationsgestaltung im oeffentlichen Personenverkehr.- Flexible Architekturen und wiederverwendbare Softwarebausteine fur die Anwendung der Zukunft - dargestellt an Systemen der Wurttembergischen Versicherung AG.- Die IV-Strategie des Energieversorgungsunternehmens RWE Energie.- Multinationale Informationsstrategien am Beispiel der Esso A. G.- Perspektiven fur den Einsatz objektorientierter Datenbanksysteme in CIM-orientierten Kosteninformationssystemen.- Datenbankgestutzte, vertragsbasierte Buchhaltung.- Funktionsintegration in heterogenen verteilten Informationssystemen - innovative Konzepte und Fallstudien.- Mobile Rechneranwendungen in dezentralen verteilten Systemumgebungen.- Podiumsdiskussion.- Abhangigkeit als Entscheidungskriterium zwischen internen und externen Organisationsformen der Informationsverarbeitung.- Diversifikationseffekte als Erklarung fur Downsizing und Outsourcing.- Redesign des Siemens-Nixdorf Service und die Erweiterung von Business Process Reengineering zu IT-enabled Business Innovation.- Geschaftsstrategie - Prozess - Informationssystem.- The Use of Worldwide Networking by Global Corporations.- Die Zukunft wird anders sein ! - Informationen verandern die Welt.- Autoren- und Adressverzeichnis.- Sponsorenverzeichnis.

This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers. It gathers selected topics presented at the International Workshops on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014 and EPASA2015), which brought together leading researchers working on the numerical solution of matrix eigenvalue problems to discuss and exchange ideas - and in so doing helped to create a community for researchers in eigenvalue problems. The topics presented in the book, including novel numerical algorithms, high-performance implementation techniques, software developments and sample applications, will contribute to various fields that involve solving large-scale eigenvalue problems.

This third volume in the series deals with such topics as information systems practice and theory, information systems and the accounting/auditing environment, and differing perspectives on information systems research.

This book introduces readers to the basic concepts of and latest findings in the area of differential equations with uncertain factors. It covers the analytic method and numerical method for solving uncertain differential equations, as well as their applications in the field of finance. Furthermore, the book provides a number of new potential research directions for uncertain differential equation. It will be of interest to researchers, engineers and students in the fields of mathematics, information science, operations research, industrial engineering, computer science, artificial intelligence, automation, economics, and management science.

ITIL(R) 4 Create, Deliver and SupportIf you've achieved your ITIL(R) 4 Foundation certificate, you're probably planning the next stage in your ITIL journey and which qualification to work towards. ITIL 4 Create, Deliver and Support (CDS) provides essential knowledge and capabilities for service management professionals, focusing on a value stream based approach to IT-enabled products and services - a must-have skillset practitioners should seek beyond Foundation level. The majority of this book is based on the official AXELOS ITIL(R) 4: Create, Deliver and Support publication and the associated Create, Deliver and Support Managing Professional syllabus. It provides students with the information they need to pass the Create, Deliver and Support exam, and help them become a successful practitioner. Suitable for existing ITIL v3 experts, ITIL 4 Managing Professional (MP) students, ITSM (IT service management) practitioners who are adopting ITIL 4, approved training organisations, IT service managers, IT managers and those in IT support roles. The guide focuses on: Service value system key concepts and challenges; Using a shift-left approach; Planning and managing resources in the service value system; The use and value of technology across the service value system; ITIL practices and value streams for new services and user support; How to create, deliver and support services; and Exam preparation. A useful tool throughout your careerIn addition to being an essential study aid, the author - a seasoned ITSM professional - also provides additional guidance throughout the book which you can lean on once your training and exam are over. The book includes her own practical experience from which she gives advice and points to think about along the way so that you can refer back to this book for years to come - long after you've passed your exam. The essential link between your ITIL qualification and the real world - buy this book today!

Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

This is a book for people who love mechanics of composite materials and ? MATLAB . We will use the popular computer package MATLAB as a matrix calculator for doing the numerical calculations needed in mechanics of c- posite materials. In particular, the steps of the mechanical calculations will be emphasized in this book. The reader will not ?nd ready-made MATLAB programs for use as black boxes. Instead step-by-step solutions of composite material mechanics problems are examined in detail using MATLAB. All the problems in the book assume linear elastic behavior in structural mechanics. The emphasis is not on mass computations or programming, but rather on learning the composite material mechanics computations and understanding of the underlying concepts. The basic aspects of the mechanics of ?ber-reinforced composite materials are covered in this book. This includes lamina analysis in both the local and global coordinate systems, laminate analysis, and failure theories of a lamina.

Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently attracted increasing attention in a broad range of fields. The major feature of the book lies in its consistent Bayesian treatment regarding whole combinations of batch and sequential solutions for linear Gaussian and general state-space models: MCMC and Kalman/particle filter. The reader is given insight on flexible modeling in modern time series analysis. The main topics of the book deal with the state-space model, covering extensively, from introductory and exploratory methods to the latest advanced topics such as real-time structural change detection. Additionally, a practical exercise using R/Stan based on real data promotes understanding and enhances the reader's analytical capability.

A collection of surveys and research papers on mathematical software and algorithms. The common thread is that the field of mathematical applications lies on the border between algebra and geometry. Topics include polyhedral geometry, elimination theory, algebraic surfaces, Gröbner bases, triangulations of point sets and the mutual relationship. This diversity is accompanied by the abundance of available software systems which often handle only special mathematical aspects. This is why the volume also focuses on solutions to the integration of mathematical software systems. This includes low-level and XML based high-level communication channels as well as general frameworks for modular systems.

This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. Over 170 figures are included in the book.

This book features 13 papers presented at the Fifth International Symposium on Recurrence Plots, held August 2013 in Chicago, IL. It examines recent applications and developments in recurrence plots and recurrence quantification analysis (RQA) with special emphasis on biological and cognitive systems and the analysis of coupled systems using cross-recurrence methods. Readers will discover new applications and insights into a range of systems provided by recurrence plot analysis and new theoretical and mathematical developments in recurrence plots. Recurrence plot based analysis is a powerful tool that operates on real-world complex systems that are nonlinear, non-stationary, noisy, of any statistical distribution, free of any particular model type and not particularly long. Quantitative analyses promote the detection of system state changes, synchronized dynamical regimes or classification of system states. The book will be of interest to an interdisciplinary audience of recurrence plot users and researchers interested in time series analysis of complex systems in general.

These are the proceedings of the 22nd International Conference on Domain Decomposition Methods, which was held in Lugano, Switzerland. With 172 participants from over 24 countries, this conference continued a long-standing tradition of internationally oriented meetings on Domain Decomposition Methods. The book features a well-balanced mix of established and new topics, such as the manifold theory of Schwarz Methods, Isogeometric Analysis, Discontinuous Galerkin Methods, exploitation of modern HPC architectures and industrial applications. As the conference program reflects, the growing capabilities in terms of theory and available hardware allow increasingly complex non-linear and multi-physics simulations, confirming the tremendous potential and flexibility of the domain decomposition concept.