Model Management and Analytics for Large Scale Systems

Book Model Management and Analytics for Large Scale Systems Cover

Read or download book entitled Model Management and Analytics for Large Scale Systems written by Bedir Tekinerdogan and published by Academic Press in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Model Management and Analytics for Large Scale Systems book is available in the library.

  • Publisher : Academic Press
  • Release : 14 September 2019
  • ISBN : 9780128166505
  • Page : 344 pages
  • Rating : 4.5/5 from 103 voters

Download Model Management and Analytics for Large Scale Systems in PDF, Epub and Kindle

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

GET THIS BOOK

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
  • ISBN : 9780128166505
GET THIS BOOKModel Management and Analytics for Large Scale Systems

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

Business Modeling and Software Design

Business Modeling and Software Design
  • Author : Boris Shishkov
  • Publisher : Springer Nature
  • Release Date : 2020-07-06
  • ISBN : 9783030523060
GET THIS BOOKBusiness Modeling and Software Design

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

Knowledge Management in the Development of Data-Intensive Systems

Knowledge Management in the Development of Data-Intensive Systems
  • Author : Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan
  • Publisher : CRC Press
  • Release Date : 2021-06-15
  • ISBN : 9781000387414
GET THIS BOOKKnowledge Management in the Development of Data-Intensive Systems

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new

Advanced Informatics for Computing Research

Advanced Informatics for Computing Research
  • Author : Ashish Kumar Luhach,Dharm Singh Jat,Kamarul Hawari Bin Ghazali,Xiao-Zhi Gao,Pawan Lingras
  • Publisher : Springer Nature
  • Release Date : 2021-06-19
  • ISBN : 9789811636608
GET THIS BOOKAdvanced Informatics for Computing Research

This two-volume set (CCIS 1393 and CCIS 1394) constitutes selected and revised papers of the 4th International Conference on Advanced Informatics for Computing Research, ICAICR 2020, held in Gurugram, India, in December 2020. The 34 revised full papers and 51 short papers presented were carefully reviewed and selected from 306 submissions. The papers are organized in topical sections on computing methodologies; hardware; networks; security and privacy.

Systems Modelling and Management

Systems Modelling and Management
  • Author : Önder Babur,Joachim Denil,Birgit Vogel-Heuser
  • Publisher : Springer Nature
  • Release Date : 2020-10-16
  • ISBN : 9783030581671
GET THIS BOOKSystems Modelling and Management

This book constitutes the refereed proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020, planned to be held in Bergen, Norway, in June 2020. Due to the COVID-19 pandemic the conference did not take place physically or virtually. The 10 full papers and 3 short papers were thoroughly reviewed and selected from 19 qualified submissions. The papers are organized according to the following topical sections: verification and validation; applications; methods, techniques and tools.

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
  • ISBN : 9781681734972
GET THIS BOOKData Management in Machine Learning Systems

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

Large Scale and Big Data

Large Scale and Big Data
  • Author : Sherif Sakr,Mohamed Gaber
  • Publisher : CRC Press
  • Release Date : 2014-06-25
  • ISBN : 9781466581500
GET THIS BOOKLarge Scale and Big Data

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different

Run-time Models for Self-managing Systems and Applications

Run-time Models for Self-managing Systems and Applications
  • Author : Danilo Ardagna,Li Zhang
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-11-15
  • ISBN : 9783034604338
GET THIS BOOKRun-time Models for Self-managing Systems and Applications

The complexity of Information Technology (IT) systems has been steadily incre- ing in the past decades. In October 2001, IBM released the “Autonomic Computing Manifesto” observing that current applications have reached the size of millions of lines of code, while physical infrastructures include thousands of heterogeneous servers requiring skilled IT professionals to install, con?gure, tune, and maintain. System complexity has been recognized as the main obstacle to the further advan- ment of IT technology. The basic idea of Autonomic Computing

The Oxford Handbook of Talent Management

The Oxford Handbook of Talent Management
  • Author : David G. Collings,Kamel Mellahi,Wayne F. Cascio
  • Publisher : Oxford University Press
  • Release Date : 2017
  • ISBN : 9780198758273
GET THIS BOOKThe Oxford Handbook of Talent Management

The Oxford Handbook of Talent Management offers academic researchers, advanced postgraduate students, and reflective practitioners a state-of-the-art overview of the key themes, topics, and debates in talent management. The Handbook is designed with a multi-disciplinary perspective in mind and draws upon perspectives from, inter alia, human resource management, psychology, and strategy to chart the topography of the area of talent management and to establish the base of knowledge in the field. Furthermore, each chapter concludes by identifying key gaps in

Computer Aided Systems Theory – EUROCAST 2019

Computer Aided Systems Theory – EUROCAST 2019
  • Author : Roberto Moreno-Díaz,Franz Pichler,Alexis Quesada-Arencibia
  • Publisher : Springer Nature
  • Release Date : 2020-04-15
  • ISBN : 9783030450939
GET THIS BOOKComputer Aided Systems Theory – EUROCAST 2019

The two-volume set LNCS 12013 and 12014 constitutes the thoroughly refereed proceedings of the 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, held in Las Palmas de Gran Canaria, Spain, in February 2019. The 123 full papers presented were carefully reviewed and selected from 172 submissions. The papers are organized in the following topical sections: Part I: systems theory and applications; pioneers and landmarks in the development of information and communication technologies; stochastic models and applications to natural, social and technical systems; theory and

Big Data Science and Analytics for Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism
  • Author : Simon Elias Bibri
  • Publisher : Springer
  • Release Date : 2019-05-30
  • ISBN : 9783030173128
GET THIS BOOKBig Data Science and Analytics for Smart Sustainable Urbanism

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms

Applications of Big Data in Large- and Small-Scale Systems

Applications of Big Data in Large- and Small-Scale Systems
  • Author : Goundar, Sam,Rayani, Praveen Kumar
  • Publisher : IGI Global
  • Release Date : 2021-01-15
  • ISBN : 9781799866756
GET THIS BOOKApplications of Big Data in Large- and Small-Scale Systems

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift.

Big Data Analytics for Large-Scale Multimedia Search

Big Data Analytics for Large-Scale Multimedia Search
  • Author : Stefanos Vrochidis,Benoit Huet,Edward Y. Chang,Ioannis Kompatsiaris
  • Publisher : John Wiley & Sons
  • Release Date : 2019-03-18
  • ISBN : 9781119376989
GET THIS BOOKBig Data Analytics for Large-Scale Multimedia Search

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and

Big Data at Work

Big Data at Work
  • Author : Scott Tonidandel,Eden B. King,Jose M. Cortina
  • Publisher : Routledge
  • Release Date : 2015-11-06
  • ISBN : 9781317702702
GET THIS BOOKBig Data at Work

The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily

Big Data 2.0 Processing Systems

Big Data 2.0 Processing Systems
  • Author : Sherif Sakr
  • Publisher : Springer Nature
  • Release Date : 2020-07-09
  • ISBN : 9783030441876
GET THIS BOOKBig Data 2.0 Processing Systems

This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores