New Trends In Model And Data Engineering

Download New Trends In Model And Data Engineering full books in PDF, epub, and Kindle. Read online New Trends In Model And Data Engineering ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

New Trends in Model and Data Engineering

Author : El Hassan Abdelwahed
Publisher : Springer
ISBN 13 : 3030028526
Total Pages : 257 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Model and Data Engineering by : El Hassan Abdelwahed

Download or read book New Trends in Model and Data Engineering written by El Hassan Abdelwahed and published by Springer. This book was released on 2018-10-17 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

New Trends in Model and Data Engineering

Author : Christian Attiogbé
Publisher : Springer Nature
ISBN 13 : 3030322130
Total Pages : 212 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Model and Data Engineering by : Christian Attiogbé

Download or read book New Trends in Model and Data Engineering written by Christian Attiogbé and published by Springer Nature. This book was released on 2019-10-16 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed papers of the workshops held at the 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019, in Toulouse, France, in October 2019. The 12 full and the three short workshop papers presented together with one invited paper were carefully reviewed and selected from 35 submissions. The papers are organized according to the 3 workshops: Workshop on Modeling, Verification and Testing of Dependable Critical systems, DETECT 2019, Workshop on Data Science for Social Good in Africa, DSSGA 2019, and Workshop on Security and Privacy in Models and Data, TRIDENT 2019.

Recent Trends in Data Science and Soft Computing

Author : Faisal Saeed
Publisher : Springer
ISBN 13 : 3319990071
Total Pages : 1133 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends in Data Science and Soft Computing by : Faisal Saeed

Download or read book Recent Trends in Data Science and Soft Computing written by Faisal Saeed and published by Springer. This book was released on 2018-09-08 with total page 1133 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Model and Data Engineering

Author : Yamine Ait Ameur
Publisher : Springer
ISBN 13 : 3319115871
Total Pages : 352 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Model and Data Engineering by : Yamine Ait Ameur

Download or read book Model and Data Engineering written by Yamine Ait Ameur and published by Springer. This book was released on 2014-09-19 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alfredo Cuzzocrea
Publisher : Springer
ISBN 13 : 3642413668
Total Pages : 301 pages
Book Rating : 4.6/5 (424 download)

DOWNLOAD NOW!

Book Synopsis Model and Data Engineering by : Alfredo Cuzzocrea

Download or read book Model and Data Engineering written by Alfredo Cuzzocrea and published by Springer. This book was released on 2013-09-10 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Siddharth Konkimalla
Publisher : BUDHA PUBLISHER
ISBN 13 : 9361756079
Total Pages : 192 pages
Book Rating : 4.3/5 (617 download)

DOWNLOAD NOW!

Book Synopsis DATA ENGINEERING IN THE AGE OF AI GENERATIVE MODELS AND DEEP LEARNING UNLEASHED by : Siddharth Konkimalla

Download or read book DATA ENGINEERING IN THE AGE OF AI GENERATIVE MODELS AND DEEP LEARNING UNLEASHED written by Siddharth Konkimalla and published by BUDHA PUBLISHER. This book was released on with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: .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.

New Trends in Intelligent Software Methodologies, Tools and Techniques

Author : H. Fujita
Publisher : IOS Press
ISBN 13 : 1643681958
Total Pages : 728 pages
Book Rating : 4.6/5 (436 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book New Trends in Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2021-09-28 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of AI with software is an essential enabler for science and the new economy, creating new markets and opportunities for a more reliable, flexible and robust society. Current software methodologies, tools and techniques often fall short of expectations, however, and much software remains insufficiently robust and reliable for a constantly changing and evolving market. This book presents 54 papers delivered at the 20th edition of the International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT_21), held in Cancun, Mexico, from 21–23 September 2021. The aim of the conference was to capture the essence of a new state-of-the-art in software science and its supporting technology and to identify the challenges that such a technology will need to master, and this book explores the new trends and theories illuminating the direction of development in this field as it heads towards a transformation in the role of software and science integration in tomorrow’s global information society. The 54 revised papers were selected for publication by means of a rigorous review process involving 3 or 4 reviewers for each paper, followed by selection by the SoMeT_21 international reviewing committee. The book is divided into 9 chapters, classified by paper topic and relevance to the chapter theme. Covering topics ranging from research practices, techniques and methodologies to proposing and reporting on the solutions required by global business, the book offers an opportunity for the software science community to consider where they are today and where they are headed in the future.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

Author : Goncalo Marques
Publisher : Academic Press
ISBN 13 : 0323855989
Total Pages : 475 pages
Book Rating : 4.3/5 (238 download)

DOWNLOAD NOW!

Book Synopsis Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering by : Goncalo Marques

Download or read book Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering written by Goncalo Marques and published by Academic Press. This book was released on 2022-03-20 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

Trends of Data Science and Applications

Author : Siddharth Swarup Rautaray
Publisher : Springer Nature
ISBN 13 : 9813368152
Total Pages : 341 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Trends of Data Science and Applications by : Siddharth Swarup Rautaray

Download or read book Trends of Data Science and Applications written by Siddharth Swarup Rautaray and published by Springer Nature. This book was released on 2021-03-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

Recent Progress in Data Engineering and Internet Technology

Author : Ford Lumban Gaol
Publisher : Springer Science & Business Media
ISBN 13 : 3642287980
Total Pages : 518 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Recent Progress in Data Engineering and Internet Technology by : Ford Lumban Gaol

Download or read book Recent Progress in Data Engineering and Internet Technology written by Ford Lumban Gaol and published by Springer Science & Business Media. This book was released on 2012-03-31 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Engineering

Author : Yupo Chan
Publisher : Springer Science & Business Media
ISBN 13 : 1441901760
Total Pages : 381 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!

Book Synopsis Data Engineering by : Yupo Chan

Download or read book Data Engineering written by Yupo Chan and published by Springer Science & Business Media. This book was released on 2009-10-15 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter. The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Author : Taser, Pelin Yildirim
Publisher : IGI Global
ISBN 13 : 1799841871
Total Pages : 334 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by : Taser, Pelin Yildirim

Download or read book Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics written by Taser, Pelin Yildirim and published by IGI Global. This book was released on 2021-11-05 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Intelligent Data Engineering and Automated Learning -- IDEAL 2011

Author : Hujun Yin
Publisher : Springer Science & Business Media
ISBN 13 : 3642238777
Total Pages : 527 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2011 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2011 written by Hujun Yin and published by Springer Science & Business Media. This book was released on 2011-08-30 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2011, held in Norwich, UK, in September 2011. The 59 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Author : Taniar, David
Publisher : IGI Global
ISBN 13 : 1613504756
Total Pages : 465 pages
Book Rating : 4.6/5 (135 download)

DOWNLOAD NOW!

Book Synopsis Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends by : Taniar, David

Download or read book Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends written by Taniar, David and published by IGI Global. This book was released on 2011-12-31 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Data Science with Semantic Technologies

Author : Archana Patel
Publisher : CRC Press
ISBN 13 : 1000881237
Total Pages : 293 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Data Science with Semantic Technologies by : Archana Patel

Download or read book Data Science with Semantic Technologies written by Archana Patel and published by CRC Press. This book was released on 2023-06-20 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.

AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT

Author : Eswar Prasad Galla
Publisher : JEC PUBLICATION
ISBN 13 : 9361758756
Total Pages : 237 pages
Book Rating : 4.3/5 (617 download)

DOWNLOAD NOW!

Book Synopsis AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT by : Eswar Prasad Galla

Download or read book AI-DRIVEN DATA ENGINEERING TRANSFORMING BIG DATA INTO ACTIONABLE INSIGHT written by Eswar Prasad Galla and published by JEC PUBLICATION. This book was released on with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: .....

Data Engineering for AI/ML Pipelines

Author : Venkata Karthik Penikalapati
Publisher : BPB Publications
ISBN 13 : 9365899036
Total Pages : 316 pages
Book Rating : 4.3/5 (658 download)

DOWNLOAD NOW!

Book Synopsis Data Engineering for AI/ML Pipelines by : Venkata Karthik Penikalapati

Download or read book Data Engineering for AI/ML Pipelines written by Venkata Karthik Penikalapati and published by BPB Publications. This book was released on 2024-10-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Data engineering is the art of building and managing data pipelines that enable efficient data flow for AI/ML projects. This book serves as a comprehensive guide to data engineering for AI/ML systems, equipping you with the knowledge and skills to create robust and scalable data infrastructure. This book covers everything from foundational concepts to advanced techniques. It begins by introducing the role of data engineering in AI/ML, followed by exploring the lifecycle of data, from data generation and collection to storage and management. Readers will learn how to design robust data pipelines, transform data, and deploy AI/ML models effectively for real-world applications. The book also explains security, privacy, and compliance, ensuring responsible data management. Finally, it explores future trends, including automation, real-time data processing, and advanced architectures, providing a forward-looking perspective on the evolution of data engineering. By the end of this book, you will have a deep understanding of the principles and practices of data engineering for AI/ML. You will be able to design and implement efficient data pipelines, select appropriate technologies, ensure data quality and security, and leverage data for building successful AI/ML models. KEY FEATURES ● Comprehensive guide to building scalable AI/ML data engineering pipelines. ● Practical insights into data collection, storage, processing, and analysis. ● Emphasis on data security, privacy, and emerging trends in AI/ML. WHAT YOU WILL LEARN ● Architect scalable data solutions for AI/ML-driven applications. ● Design and implement efficient data pipelines for machine learning. ● Ensure data security and privacy in AI/ML systems. ● Leverage emerging technologies in data engineering for AI/ML. ● Optimize data transformation processes for enhanced model performance. WHO THIS BOOK IS FOR This book is ideal for software engineers, ML practitioners, IT professionals, and students wanting to master data pipelines for AI/ML. It is also valuable for developers and system architects aiming to expand their knowledge of data-driven technologies. TABLE OF CONTENTS 1. Introduction to Data Engineering for AI/ML 2. Lifecycle of AI/ML Data Engineering 3. Architecting Data Solutions for AI/ML 4. Technology Selection in AI/ML Data Engineering 5. Data Generation and Collection for AI/ML 6. Data Storage and Management in AI/ML 7. Data Ingestion and Preparation for ML 8. Transforming and Processing Data for AI/ML 9. Model Deployment and Data Serving 10. Security and Privacy in AI/ML Data Engineering 11. Emerging Trends and Future Direction