Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995)."

As businesses, researchers, and practitioners look to devise new and innovative technologies in the realm of e-commerce, the human side in contemporary organizations remains a test in the industry. ""Utilizing and Managing Commerce and Services Online"" broadens the overall body of knowledge regarding the human aspects of electronic commerce technologies and utilization in modern organizations. ""Utilizing and Managing Commerce and Services Online"" provides comprehensive coverage and understanding of the social, cultural, organizational, and cognitive impacts of e-commerce technologies and advances in organizations around the world. E-commerce strategic management, leadership, organizational behavior, development, and employee ethical issues are only a few of the challenges presented in this all-inclusive work.

With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing large amounts of data, and with far fewer assumptions- the data can be of any type, structured or unstructured, and may be extremely large. Outlier Analysis is a comprehensive exposition, as understood by data mining experts, statisticians and computer scientists. The book has been organized carefully, and emphasis was placed on simplifying the content, so that students and practitioners can also benefit. Chapters will typically cover one of three areas: methods and techniques commonly used in outlier analysis, such as linear methods, proximity-based methods, subspace methods, and supervised methods; data domains, such as, text, categorical, mixed-attribute, time-series, streaming, discrete sequence, spatial and network data; and key applications of these methods as applied to diverse domains such as credit card fraud detection, intrusion detection, medical diagnosis, earth science, web log analytics, and social network analysis are covered.

This unique resource provides engineers and students with a practical approach to quickly learning the software-defined radio concepts they need to know for their work in the field. By prototyping and evaluating actual digital communication systems capable of performing "over-the-air" wireless data transmission and reception, this volume helps readers attain a first-hand understanding of critical design trade-offs and issues. Moreover, professionals gain a sense of the actual "real-world" operational behavior of these systems. With the purchase of the book, readers gain access to several ready-made Simulink experiments at the publisher's website. This collection of laboratory experiments, along with several examples, enables engineers to successfully implement the designs discussed the book in a short period of time. These files can be executed using MATLAB version R2011b or later.

Autopoietic systems show a remarkable property in the way they interact with their environment: on the one hand building blocks and energy (including information) are exchanged with the environment, which characterizes them as open systems; on the other hand, any functional mechanisms-the way the system processes, incorporates building blocks, and responds to information-are totally self-determined and cannot be controlled by interventions from the environment. Information systems in an organization seem to accept the autopoietic system way of development and can help managers to understand the operations of their organizations better. Autopoiesis and Self-Sustaining Processes for Organizational Success is an innovative reference book that presents the meaning of autopoietic organizations for social and information science, examines how autopoietic organizations are information self-producing and self-controlled, and provides a framework for its development in modern organizations. The book focuses on analyzing autopoiesis features such as self-managing, self-sustaining, self-producing, self-regulating, etc. Moreover, as the aforementioned characteristics receive a new interpretation in IT environments, the book also includes an exploration of IT solutions that enable the development of these characteristics. This book is ideal for professionals, academicians, researchers, and students working in the field of information economics and management in various disciplines such as information and communication sciences, administrative sciences and management, education, computer science, and information technology.

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 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.

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.

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 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.

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.

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.