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SAP R/3 Implementation
Before use, standard ERP systems such as SAP R/3 need to be customized to meet the concrete requirements of the individual enterprise. This book provides an overview of the process models, methods, and tools offered by SAP and its partners to support this complex and time-consuming process. It begins by characterizing the foundations of the latest ERP systems from both a conceptual and technical viewpoint, whereby the most important components and functions of SAP R/3 are described. The main part of the book then goes on to present the current methods and tools for the R/3 implementation based on newer process models (roadmaps).
Automatic Model Driven Analytical Information Systems
Analytical Information Systems support decision making within organizations. They allow complex analysis based on integrated datasets. These integrated datasets, also known as data warehouses, are based on systems with different technologies and content. AIS are complex software systems. During their build-up, many technical aspects, such as connection and data transformation for the involved data sources, or the definition of analysis schemas, have to be considered. Therefore, an integrated creation of these systems is difficult. In this book, the autoMAIS approach, which improves the AIS creation process, is introduced. Within this approach, techniques of model-driven software development ...
KI-98: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 22nd Annual German Conference on Artificial Intelligence, KI-98, held in Bremen, Germany, in September 1998. The 16 revised full papers presented were carefully reviewed and selected for inclusion in the proceedings. Also included are three invited papers and abstracts of two invited talks, as well as an appendix containing up-to-date descriptions of German AI projects. Thus the volume gives a unique overview of AI research in Germany.
Dimensionality Reduction with Unsupervised Nearest Neighbors
This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach. It starts with an introduction to machine learning concepts and a real-world application from the energy domain. Then, unsupervised nearest neighbors (UNN) is introduced as efficient iterative method for dimensionality reduction. Various UNN models are developed step by step, reaching from a simple iterative strategy for discrete latent spaces to a stochastic kernel-based algorithm for learning submanifolds with independent parameterizations. Extensions that allow the embedding of incomplete and noisy patterns are introduced. Various optimization approaches are compared, from evolutionary to swarm-based heuristics. Experimental comparisons to related methodologies taking into account artificial test data sets and also real-world data demonstrate the behavior of UNN in practical scenarios. The book contains numerous color figures to illustrate the introduced concepts and to highlight the experimental results.
Business Process Management Workshops
This book constitutes the refereed proceedings of ten international workshops held in Eindhoven, The Netherlands, in conjunction with the 12th International Conference on Business Process Management, BPM 2014, in September 2014. The ten workshops comprised Process-oriented Information Systems in Healthcare (ProHealth 2014), Security in Business Processes (SBP 2014), Process Model Collections: Management and Reuse (PMC-MR 2014), Business Processes in Collective Adaptive Systems (BPCAS 2014), Data- and Artifact-centric BPM (DAB 2014), Business Process Intelligence (BPI 2014), Business Process Management in the Cloud (BPMC 2014), Theory and Applications of Process Visualization (TaProViz 2014), Business Process Management and Social Software (BPMS2 2014) and Decision Mining and Modeling for Business Processes (DeMiMoP 2014). The 38 revised full and eight short papers presented were carefully reviewed and selected from 84 submissions. In addition, six short papers resulting from the Doctoral Consortium at BPM 2014 are included in this book.
Universal Traceability. A Comprehensive, Generic, Technology-Independent, and Semantically Rich Approach
Traceability describes the ability of stakeholders to understand and follow relationships between artifacts that play some role in software development. It is essential for many development tasks, e.g., quality assurance, requirements management, or software maintenance. Aiming to overcome various deficiencies of existing traceability concepts, this book presents a universal approach describing required features of traceability solutions. This includes a technology-independent, generic template for the definition of semantically rich traceability relationship types and technology-independent patterns for the retrieval of traceability information, reflecting generic problems common to traceability applications. The universal approach is implemented on the basis of two concrete technologies which facilitate comprehensive traceability: the TGraph approach and OWL ontologies. The applicability of the approach is shown by three case studies dealing with the reuse of software artifacts, process model refinement, and requirements management, respectively.
