Data & Knowledge Engineering PDF Download

Author:
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 590

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Author: George Zobrist
Publisher: CRC Press
ISBN: 9789056996666
Category : Technology & Engineering
Languages : en
Pages : 326

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Book Description
Simulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributions in Simulation Systms are freom leading researchers and practioners which explore a wide spectrum of topics. The chapters include topics such as presentation of SIMULA/OBJECTR, which is a query driven simulation support environment and a method of translating automatically digital logic equations so that they may be simulated using VHDL. This is followed by simulation techniques for deterministic and statistical circuit design optimization. A mathematical model of a magnetic resonance imaging system is simulated so that one can better understand the imaging system.

Author: Juan J. Cuadrado-Gallego
Publisher: Springer Nature
ISBN: 3030510239
Category : Computers
Languages : en
Pages : 202

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Book Description
This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader. The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models. The book can be used to develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 672

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Author: Abdelkader Hameurlain
Publisher: Springer Science & Business Media
ISBN: 3642281478
Category : Business & Economics
Languages : en
Pages : 230

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Book Description
This fifth issue of the LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems offers nine full-length focusing on such hot topics as data management, knowledge discovery, and knowledge processing.

Author: Bernhard Thalheim
Publisher: Springer Science & Business Media
ISBN: 3662040581
Category : Computers
Languages : en
Pages : 640

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Book Description
This book is a comprehensive presentation of entity-relationship (ER) modeling with regard to an integrated development and modeling of database applications. It comprehensively surveys the achievements of research in this field and deals with the ER model and its extensions. In addition, the book presents techniques for the translation of the ER model into classical database models and languages, such as relational, hierarchical, and network models and languages, as well as into object-oriented models.

Author: Frederick H. Lochovsky
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 456

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Book Description
Twenty-three high quality papers were solicited for this book, dealing with both the principles and pragmatics of using the entity-relationship approach in research and business. Two broad topics are covered: database design and database querying. The book reflects the trends in recent years of extending the modeling power of the ER model and of incorporating knowledge-based techniques into design tools for - and implementations of - ER-based systems.

Author: Dimitris Kiritsis
Publisher: Academic Press
ISBN: 0444637540
Category : Technology & Engineering
Languages : en
Pages : 216

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Book Description
Taking the LEAP: The Methods and Tools of the Linked Engineering and Manufacturing Platform (LEAP) shows how to use the LEAP methodology to organize all product lifecycle information needed to drive engineering and manufacturing processes, and also provides knowledge exploitation solutions to support design decisions. This book not only explains in detail what LEAP is and how to use it, but also provides LEAP case studies from sectors such as auto manufacturing and offshore engineering. The intensity of competition in the global manufacturing industry has increased dramatically in the past decade, presenting challenges and opportunities to new operators and traditional centers alike. Using the latest ICT developments effectively is increasingly important in order to meet demands for mass customization, sustainability, and improved productivity. To achieve these goals, the Linked Engineering and manufacturing Platform (LEAP) was developed as an integrated information system for manufacturing design. Discusses how LEAP creates a new data environment for all stakeholders in the manufacturing industry, which will improve customization, sustainability, and productivity Devises an interoperability system to gather and coordinate digital data from machines and systems across the manufacturing supply chain Provides standards for the Internet of Things Includes case study data from companies at the cutting edge of ICT in manufacturing such as SAP, Volkswagen, and UBITECH

Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521

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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Author: Akifumi Makinouchi
Publisher: World Scientific
ISBN: 9814554588
Category :
Languages : en
Pages : 568

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Book Description
This volume contains 64 papers from contributors around the world on a wide range of topics in database systems research. Of special mention are the papers describing the practical experiences of developing and implementing some of the many useful database systems on the market. Readers should find useful new ideas from the proceedings of this international symposium.