Information Systems Analysis and Modeling, Vladimir S. Lerner
Автор: Khaled Gaaloul; Rainer Schmidt; Selmin Nurcan; S?r Название: Enterprise, Business-Process and Information Systems Modeling ISBN: 3319192361 ISBN-13(EAN): 9783319192369 Издательство: Springer Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Enabling Value Creation.- On the Fragmentation of Process Information: Challenges, Solutions, and Outlook.- Creating Self-Managed Cross-Professional Teams with Metaphoric Business Process Support Systems.- Human Centric Paradigms.- Mining the Organisational Perspective in Agile Business Processes.- Changing the Focus of an Organization: From Information Systems to Process Aware Information Systems.- Role and Task Recommendation and Social Tagging to Enable Social Business Process Management.- Mining for Processes.- Scalable Process Discovery with Guarantees.- Multidimensional Process Mining Using Process Cubes.- Declarative Approaches.- Matching of Events and Activities - An Approach Using Declarative Modeling Constraints.- PQL - A Descriptive Language for Querying, Abstracting and Changing Process Models.- Enhancing Declarative Process Models with DMN Decision Logic.- Understanding and Sharing.- Using the Process-Assets Framework for Creating a Holistic View Over Process Documentation.- Process Fragmentation: An Ontological Perspective.- Identifying and Quantifying Visual Layout Features of Business Process Models.- Quality and Security Issues.- Identifying Quality Issues in BPMN Models: An Exploratory Study.- Modeling and Reasoning About Information Quality Requirements in Business Processes.- From Secure Business Process Models to Secure Artifact-Centric Specifications.- New Areas for BPMDS.- PROtEUS: An Integrated System for Process Execution in Cyber-Physical Systems.- Fundamental Issues in Modeling.- Applying Predicate Abstraction to Abstract State Machines.- Implementation and First Evaluation of a Molecular Modeling Language.- Requirements and Regulations.- Analyzing Variability of Cloned Artifacts: Formal Framework and Its Application to Requirements.- Solving Semantic Disparity and Explanation Problems in Regulatory Compliance- A Research-In-Progress Report with Design Science Research Perspective.- Enterprise and Software Ecosystem Modelling.- On the Support of Automated Analysis Chains on Enterprise Models.- Designing Software Ecosystems: How Can Modeling Techniques Help?.- Information and Process Model Quality.- Dealing with Information Quality Requirements.- Understanding Model Quality Concerns When Using Process Models in an Industrial Company.- Meta-modeling and Domain Specific Modeling and Model Composition.- Towards Metamodelling-In-The-Large: Interface-Based Composition for Modular Metamodel Development.- Towards Static Analysis of Executable DSMLs Using Model Typing.- Modeling of Architecture and Design.- Real-Time Design Patterns: Architectural Designs for Automatic Semi-Partitioned and Global Scheduling.- A Generic Traceability Framework for Model Composition Operation.- Novel Applications of Modeling.- Applying Predicate Abstraction to Abstract State Machines.- A Workaround Design System for Anticipating, Designing, and/or Preventing Workarounds.- An Evaluation of an Enhanced Model Driven Approach for Computer Game Creation.
Описание: finite-difference, finite-element, and finite-volume methods), parallel methods, and adaptive methods as well as fast solvers, with particular focus on explaining the interactions of the different methods.
Автор: Ivan Zelinka; Guanrong Chen; Otto E. R?ssler; Vacl Название: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems ISBN: 3319005413 ISBN-13(EAN): 9783319005416 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For this purpose there is rich spectra of methods, from classical like ARMA models or Box Jenkins method to such modern ones like evolutionarycomputation, neural networks, fuzzy logic, fractal geometry, deterministic chaos and more.
Автор: Ivan Zelinka; Ponnuthurai Nagaratnam Suganthan; Gu Название: Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems ISBN: 3319074008 ISBN-13(EAN): 9783319074009 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The prediction of behavior of complex systems, analysis and modeling of its structure is a vitally important problem in engineering, economy and generally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such "exotic" domains as the earth's atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such complex dynamics, which often exhibit strange behavior, and to use it in research or industrial applications, it is paramount to create its models. For this purpose there exists a rich spectrum of methods, from classical such as ARMA models or Box Jenkins method to modern ones like evolutionary computation, neural networks, fuzzy logic, geometry, deterministic chaos amongst others.
This proceedings book is a collection of accepted papers of the Nostradamus conference that has been held in Ostrava, Czech Republic in June 2014. This book also includes outstanding keynote lectures by distinguished guest speakers: Ren Lozi (France), Ponnuthurai Nagaratnam Suganthan (Singapore) and Lars Nolle (Germany). The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods. This conference establishes a forum for presentation and discussion of recent research trends in the area of applications of various predictive methods.
Описание: Introduction.- Hyperbolic Systems of Balance Laws.- State-space Representation.- Transfer Function Representation.- Constant Steady-state Analysis.- Time-domain Representation.- PCA-based Approximation.- Conclusions and Future Works.
Описание: This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis.
Описание: Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema.
The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.
Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.
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