Model 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 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

Produk Detail:

  • Author : Bedir Tekinerdogan
  • Publisher : Academic Press
  • Pages : 344 pages
  • ISBN : 0128166509
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKModel Management and Analytics for Large Scale Systems

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 : 14 September 2019
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 : 06 July 2020
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 : 15 June 2021
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 : 19 June 2021
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.

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 : 30 May 2019
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

Systems Modelling and Management

Systems Modelling and Management
  • Author : Önder Babur,Joachim Denil,Birgit Vogel-Heuser
  • Publisher : Springer Nature
  • Release : 16 October 2020
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.

Intelligent Systems for Healthcare Management and Delivery

Intelligent Systems for Healthcare Management and Delivery
  • Author : Bouchemal, Nardjes
  • Publisher : IGI Global
  • Release : 07 December 2018
GET THIS BOOKIntelligent Systems for Healthcare Management and Delivery

With the growing use of new technologies and artificial intelligence (AI) applications, intelligent systems can be used to manage large amounts of existing data in healthcare domains. Having more intelligent methods for accessing data allows medical professionals to more efficiently identify the best medical practices and more concrete solutions for diagnosing and treating a multitude of rare diseases. Intelligent Systems for Healthcare Management and Delivery provides relevant and advanced methodological, technological, and scientific approaches related to the application of sophisticated

Knowledge Management and Acquisition for Intelligent Systems

Knowledge Management and Acquisition for Intelligent Systems
  • Author : Hayato Ohwada,Kenichi Yoshida
  • Publisher : Springer
  • Release : 08 August 2016
GET THIS BOOKKnowledge Management and Acquisition for Intelligent Systems

This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.

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 : Wiley
  • Release : 06 May 2019
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

Applications of Big Data in Large and Small-scale Systems

Applications of Big Data in Large and Small-scale Systems
  • Author : Sam Goundar,Praveen Kumar Rayani
  • Publisher : Engineering Science Reference
  • Release : 01 September 2020
GET THIS BOOKApplications of Big Data in Large and Small-scale Systems

"This book addresses the newest innovative and intelligent applications related to utilizing the large amounts of big data being generated that is increasingly driving decision making and changing the landscape of business intelligence, from governments to private organizations, from communities to individuals"--

Big Data Analytics for Cyber-Physical Systems

Big Data Analytics for Cyber-Physical Systems
  • Author : Shiyan Hu,Bei Yu
  • Publisher : Springer Nature
  • Release : 25 June 2020
GET THIS BOOKBig Data Analytics for Cyber-Physical Systems

This book highlights research and survey articles dedicated to big data techniques for cyber-physical system (CPS), which addresses the close interactions and feedback controls between cyber components and physical components. The book first discusses some fundamental big data problems and solutions in large scale distributed CPSs. The book then addresses the design and control challenges in multiple CPS domains such as vehicular system, smart city, smart building, and digital microfluidic biochips. This book also presents the recent advances and trends

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 : 15 November 2010
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

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 : 15 January 2021
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 Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Author : Kai Hwang,Min Chen
  • Publisher : John Wiley & Sons
  • Release : 17 March 2017
GET THIS BOOKBig-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing,

New Frontiers in High Performance Computing and Big Data

New Frontiers in High Performance Computing and Big Data
  • Author : G. Fox,V. Getov,L. Grandinetti
  • Publisher : IOS Press
  • Release : 14 November 2017
GET THIS BOOKNew Frontiers in High Performance Computing and Big Data

For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine,