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New Trends In Model And Data Engineering


New Trends In Model And Data Engineering
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New Trends In Model And Data Engineering


New Trends In Model And Data Engineering
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Author : El Hassan Abdelwahed
language : en
Publisher: Springer
Release Date : 2018-10-17

New Trends In Model And Data Engineering written by El Hassan Abdelwahed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-17 with Computers categories.


This book constitutes the thoroughly refereed papers of the workshops held at the 8th International Conference on New Trends in Model and Data Engineering, MEDI 2018, in Marrakesh, Morocco, in October 2018. The 19 full and the one short workshop papers were carefully reviewed and selected from 50 submissions. The papers are organized according to the 4 workshops: International Workshop on Modeling, Verification and Testing of Dependable Critical Systems, DETECT 2018, Model and Data Engineering for Social Good Workshop, MEDI4SG 2018, Second International Workshop on Cybersecurity and Functional Safety in Cyber-Physical Systems, IWCFS 2018, International Workshop on Formal Model for Mastering Multifaceted Systems, REMEDY 2018.



Model And Data Engineering


Model And Data Engineering
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Author : Yamine Ait Ameur
language : en
Publisher: Springer
Release Date : 2014-09-19

Model And Data Engineering written by Yamine Ait Ameur and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with Computers categories.


This book constitutes the refereed proceedings of the 4th International Conference on Model and Data Engineering, MEDI 2014, held in Larnaca, Cyprus, in September 2014. The 16 long papers and 12 short papers presented together with 2 invited talks were carefully reviewed and selected from 64 submissions. The papers specifically focus on model engineering and data engineering with special emphasis on most recent and relevant topics in the areas of modeling and models engineering; data engineering; modeling for data management; and applications and tooling.



Model And Data Engineering


Model And Data Engineering
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Author : Alfredo Cuzzocrea
language : en
Publisher: Springer
Release Date : 2013-09-10

Model And Data Engineering written by Alfredo Cuzzocrea and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-10 with Computers categories.


This book constitutes the refereed proceedings of the Third International Conference on Model and Data Engineering, MEDI 2013, held in Amantea, Calabria, Italy, in September 2013. The 19 long papers and 3 short papers presented were carefully reviewed and selected from 61 submissions. The papers specifically focus on model engineering and data engineering with special emphasis on most recent and relevant topics in the areas of model-driven engineering, ontology engineering, formal modeling, security, and database modeling.



Data Engineering In The Age Of Ai Generative Models And Deep Learning Unleashed


Data Engineering In The Age Of Ai Generative Models And Deep Learning Unleashed
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Author : Siddharth Konkimalla
language : en
Publisher: BUDHA PUBLISHER
Release Date :

Data Engineering In The Age Of Ai Generative Models And Deep Learning Unleashed written by Siddharth Konkimalla and has been published by BUDHA PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


.The advances in data engineering technologies, including big data infrastructure, knowledge graphs, and mechanism design, will have a long-lasting impact on artificial intelligence (AI) research and development. This paper introduces data engineering in AI with a focus on the basic concepts, applications, and emerging frontiers. As a new research field, most data engineering in AI is yet to be properly defined, and there are abundant problems and applications to be explored. The primary purpose of this paper is to expose the AI community to this shining star of data science, stimulate AI researchers to think differently and form a roadmap of data engineering for AI. Since this is primarily an informal essay rather than an academic paper, its coverage is limited. The vast majority of the stimulating studies and ongoing projects are not mentioned in the paper.



Fundamentals Of Data Engineering


Fundamentals Of Data Engineering
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Author : Joe Reis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-22

Fundamentals Of Data Engineering written by Joe Reis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Computers categories.


Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle



Recent Progress In Data Engineering And Internet Technology


Recent Progress In Data Engineering And Internet Technology
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Author : Ford Lumban Gaol
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-31

Recent Progress In Data Engineering And Internet Technology written by Ford Lumban Gaol and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-31 with Computers categories.


The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing. This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.



Recent Trends In Data Science And Soft Computing


Recent Trends In Data Science And Soft Computing
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Author : Faisal Saeed
language : en
Publisher: Springer
Release Date : 2018-09-08

Recent Trends In Data Science And Soft Computing written by Faisal Saeed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-08 with Technology & Engineering categories.


This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.



Test Data Engineering


Test Data Engineering
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Author : Kojiro Shojima
language : en
Publisher: Springer Nature
Release Date : 2022-08-13

Test Data Engineering written by Kojiro Shojima and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-13 with Social Science categories.


This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data analysis from data engineering and information visualization. This monograph introduces the following methods of engineering or processing test data, including the latest machine learning techniques: classical test theory (CTT), item response theory (IRT), latent class analysis (LCA), latent rank analysis (LRA), biclustering (co-clustering), and Bayesian network model (BNM). CTT and IRT are methods for analyzing test data and evaluating students’ abilities on a continuous scale. LCA and LRA assess examinees by classifying them into nominal and ordinal clusters, respectively, where the adequate number of clusters is estimated from the data. Biclustering classifies examinees into groups (latent clusters) while classifying items into fields (factors). Particularly, the infinite relational model discussed in this book is a biclustering method feasible under the condition that neither the number of groups nor the number of fields is known beforehand. Additionally, the local dependence LRA, local dependence biclustering, and bicluster network model are methods that search and visualize inter-item (or inter-field) network structure using the mechanism of BNM. As this book offers a new perspective on test data analysis methods, it is certain to widen readers’ perspective on test data analysis.



Data Engineering Unlocked


Data Engineering Unlocked
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Author : Rakesh G
language : en
Publisher: Notion Press
Release Date : 2025-03-22

Data Engineering Unlocked written by Rakesh G and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.


Data Engineering Unlocked Master the Foundations of Data Engineering and Unlock the Power of Data "Data Engineering Unlocked" is your ultimate guide to navigating the ever-evolving world of Data Engineering. Designed for beginners, aspiring professionals, and industry leaders, this book breaks down complex concepts into clear, actionable insights. Through real-world examples and foundational principles, it demystifies the critical role of Data Engineers in shaping industries—from e-commerce recommendations to real-time healthcare analytics. Whether you’re exploring the basics or looking to deepen your expertise, this book equips you with the mindset, tools, and strategies to thrive in this high-demand field. Unlock the power of Data Engineering and step into the future.



Model And Data Engineering


Model And Data Engineering
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Author : Carlos Ordonez
language : en
Publisher: Springer Nature
Release Date : 2025-05-10

Model And Data Engineering written by Carlos Ordonez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-10 with Computers categories.


This book constitutes the refereed proceedings of the 13th International Conference on Model and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18–20, 2024. The 7 full papers and 11 short papers were carefully peer reviewed and selected from 45 submissions. They were organized in topical sections as follows: AI-Enabled Systems; Security and Privacy; Query Processing; Prediction; Conceptual Issues; and Applications.