June 13, 2021

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Model Management and Analytics for Large Scale Systems

Model Management and Analytics for Large Scale Systems
Author : Bedir Tekinerdogan,Önder Babur,Loek Cleophas,Mark van den Brand,Mehmet Aksit
Publisher : Academic Press
Release Date : 2019-09-14
Category : Computers
Total pages :344
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Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions

Business Modeling and Software Design

Business Modeling and Software Design
Author : Boris Shishkov
Publisher : Springer Nature
Release Date : 2020
Category : Electronic books
Total pages :413
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This book constitutes the refereed proceedings of the 10th International Symposium on Business Modeling and Software Design, BMSD 2020, which took place in Berlin, Germany, in July 2020. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering; Business Models and Requirements; Business Models and Services; Business Models and Software; Information Systems Architectures and Paradigms; Data Aspects in Business Modeling and Software Development; Blockchain-Based Business Models and Information Systems; IoT and Implications for Enterprise Information Systems. The theme of BMSD 2020 was: Towards Knowledge-Driven Enterprise Information Systems.

Manufacturing, Modeling, Management and Control (MIM 2000)

Manufacturing, Modeling, Management and Control (MIM 2000)
Author : Peter P. Groumpos,A. P. Tzes
Publisher : Pergamon
Release Date : 2001
Category : Technology & Engineering
Total pages :576
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This Proceedings contains the papers presented at the IFAC Symposium on Manufacturing, Modeling, Management and Control (MIM 2000), held in Patras, Greece, on 12-14 July 2000. MIM is a long-running series of IFAC meetings featuring the best work on the development, comparison and classification of manufacturing systems. In this Proceedings, key engineering topics, such as agile manufacturing and intelligent manufacturing, are presented alongside more management-related issues as well as some of the fundamental control theory applicable to these areas. Altogether, over 90 papers are presented.

Proceedings of the ... Conference on Information Sciences and Systems

Proceedings of the ... Conference on Information Sciences and Systems
Author : Anonim
Publisher : Unknown
Release Date : 1982
Category : Electrical engineering
Total pages :129
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII
Author : Abdelkader Hameurlain,Josef Küng,Roland Wagner,Sanjay Madria,Takahiro Hara
Publisher : Springer
Release Date : 2017-07-27
Category : Computers
Total pages :113
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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This volume, the 32nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Big Data Analytics and Knowledge Discovery, and contains extended and revised versions of five papers selected from the 17th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, during September 1-4, 2015. The five papers focus on the exact detection of information leakage, the binary shapelet transform for multiclass time series classification, a discrimination-aware association rule classifier for decision support (DAAR), new word detection and tagging on Chinese Twitter, and on-demand snapshot maintenance in data warehouses using incremental ETL pipelines, respectively. discovery,="" contains="" extended="" revised="" versions="" five="" papers="" selected="" from="" 17th="" international="" conference="" discovery="" (dawak="" 2015),="" held="" in="" valencia,="" spain,="" during="" september="" 1-4,="" 2015.="" focus="" exact="" detection="" information="" leakage,="" binary="" shapelet="" transform="" for="" multiclass="" time="" series="" classification,="" a="" discrimination-aware="" association="" rule="" classifier="" decision="" support="" (daar),="" new="" word="" tagging="" chinese="" twitter,="" on-demand="" snapshot="" maintenance="" warehouses="" using="" incremental="" etl="" pipelines,="" respectively.

Data Management in Machine Learning Systems

Data Management in Machine Learning Systems
Author : Matthias Boehm,Arun Kumar,Jun Yang
Publisher : Morgan & Claypool Publishers
Release Date : 2019-02-25
Category : Computers
Total pages :173
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Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scalable manner. Data management is at the heart of many ML systems due to data-driven application characteristics, data-centric workload characteristics, and system architectures inspired by classical data management techniques. In this book, we follow this data-centric view of ML systems and aim to provide a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. We review multiple interconnected lines of work: (1) ML support in database (DB) systems, (2) DB-inspired ML systems, and (3) ML lifecycle systems. Covered topics include: in-database analytics via query generation and user-defined functions, factorized and statistical-relational learning; optimizing compilers for ML workloads; execution strategies and hardware accelerators; data access methods such as compression, partitioning and indexing; resource elasticity and cloud markets; as well as systems for data preparation for ML, model selection, model management, model debugging, and model serving. Given the rapidly evolving field, we strive for a balance between an up-to-date survey of ML systems, an overview of the underlying concepts and techniques, as well as pointers to open research questions. Hence, this book might serve as a starting point for both systems researchers and developers.

TIMS/ORSA Bulletin

TIMS/ORSA Bulletin
Author : Institute of Management Sciences
Publisher : Unknown
Release Date : 1992
Category : Industrial management
Total pages :129
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Real-Time Data Analytics for Large Scale Sensor Data

Real-Time Data Analytics for Large Scale Sensor Data
Author : Himansu Das,Nilanjan Dey,Valentina Emilia Balas
Publisher : Academic Press
Release Date : 2019-08-31
Category : Science
Total pages :298
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Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Mathematical Reviews

Mathematical Reviews
Author : Anonim
Publisher : Unknown
Release Date : 1981
Category : Mathematics
Total pages :129
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Automated Availability Management in Large-scale Storage Systems

Automated Availability Management in Large-scale Storage Systems
Author : Ranjita Bhagwan
Publisher : Unknown
Release Date : 2004
Category :
Total pages :248
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Cybernetics and the management of large systems

Cybernetics and the management of large systems
Author : American Society for Cybernetics
Publisher : Unknown
Release Date : 1969
Category :
Total pages :264
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Management Science

Management Science
Author : Anonim
Publisher : Unknown
Release Date : 1980
Category : Industrial management
Total pages :129
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Includes special issues: The Professional series in the management sciences.

Government Reports Announcements & Index

Government Reports Announcements & Index
Author : Anonim
Publisher : Unknown
Release Date : 1983
Category : Science
Total pages :129
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An Iterative Model Analysis in a Large-scale Linear System

An Iterative Model Analysis in a Large-scale Linear System
Author : Edwin Chi-Yin Wong
Publisher : Unknown
Release Date : 1982
Category :
Total pages :616
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Eighth International Conference on Parallel and Distributed Systems

Eighth International Conference on Parallel and Distributed Systems
Author : Anonim
Publisher : Unknown
Release Date : 2001
Category : Electronic data processing
Total pages :792
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