Theory and Application of Reuse, Integration, and Data Science

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Publisher : Springer
ISBN 13 : 3319980564
Total Pages : 200 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Theory and Application of Reuse, Integration, and Data Science by : Thouraya Bouabana-Tebibel

Download or read book Theory and Application of Reuse, Integration, and Data Science written by Thouraya Bouabana-Tebibel and published by Springer. This book was released on 2019-05-07 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in the field of reuse and integration, and will help researchers and practitioners alike to understand how they can implement reuse in different stages of software development and in various domains, from robotics and security authentication to environmental issues. Indeed, reuse is not only confined to reusing code; it can be included in every software development step. The challenge today is more about adapting solutions from one language to another, or from one domain to another. The relative validation of the reused artifacts in their new environment is also necessary, at time even critical. The book includes high-quality research papers on these and many other aspects, written by experts in information reuse and integration, who cover the latest advances in the field. Their contributions are extended versions of the best papers presented at the IEEE International Conference on Information Reuse and Integration (IRI) and IEEE International Workshop on Formal Methods Integration (FMI), which were held in San Diego in August 2017.

Theory and Application of Reuse, Integration, and Data Science

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Publisher : Springer
ISBN 13 : 9783319980553
Total Pages : 189 pages
Book Rating : 4.9/5 (85 download)

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Book Synopsis Theory and Application of Reuse, Integration, and Data Science by : Thouraya Bouabana-Tebibel

Download or read book Theory and Application of Reuse, Integration, and Data Science written by Thouraya Bouabana-Tebibel and published by Springer. This book was released on 2019-05-08 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in the field of reuse and integration, and will help researchers and practitioners alike to understand how they can implement reuse in different stages of software development and in various domains, from robotics and security authentication to environmental issues. Indeed, reuse is not only confined to reusing code; it can be included in every software development step. The challenge today is more about adapting solutions from one language to another, or from one domain to another. The relative validation of the reused artifacts in their new environment is also necessary, at time even critical. The book includes high-quality research papers on these and many other aspects, written by experts in information reuse and integration, who cover the latest advances in the field. Their contributions are extended versions of the best papers presented at the IEEE International Conference on Information Reuse and Integration (IRI) and IEEE International Workshop on Formal Methods Integration (FMI), which were held in San Diego in August 2017.

Software Source Code

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110703394
Total Pages : 358 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Software Source Code by : Raghavendra Rao Althar

Download or read book Software Source Code written by Raghavendra Rao Althar and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-07-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.

Intelligent Computing Theories and Application

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Publisher : Springer
ISBN 13 : 3030269698
Total Pages : 810 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent Computing Theories and Application by : De-Shuang Huang

Download or read book Intelligent Computing Theories and Application written by De-Shuang Huang and published by Springer. This book was released on 2019-07-31 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology.

Theory and Application of Reuse, Integration, and Data Science

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Author :
Publisher :
ISBN 13 : 9783319980577
Total Pages : pages
Book Rating : 4.9/5 (85 download)

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Book Synopsis Theory and Application of Reuse, Integration, and Data Science by : Thouraya Bouabana-Tebibel

Download or read book Theory and Application of Reuse, Integration, and Data Science written by Thouraya Bouabana-Tebibel and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in the field of reuse and integration, and will help researchers and practitioners alike to understand how they can implement reuse in different stages of software development and in various domains, from robotics and security authentication to environmental issues. Indeed, reuse is not only confined to reusing code; it can be included in every software development step. The challenge today is more about adapting solutions from one language to another, or from one domain to another. The relative validation of the reused artifacts in their new environment is also necessary, at time even critical. The book includes high-quality research papers on these and many other aspects, written by experts in information reuse and integration, who cover the latest advances in the field. Their contributions are extended versions of the best papers presented at the IEEE International Conference on Information Reuse and Integration (IRI) and IEEE International Workshop on Formal Methods Integration (FMI), which were held in San Diego in August 2017.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1799804151
Total Pages : 1707 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-10-11 with total page 1707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Agile Data Science

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449326919
Total Pages : 269 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Agile Data Science by : Russell Jurney

Download or read book Agile Data Science written by Russell Jurney and published by "O'Reilly Media, Inc.". This book was released on 2013-10-15 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track

Agile Data Science 2.0

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491960086
Total Pages : 351 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Agile Data Science 2.0 by : Russell Jurney

Download or read book Agile Data Science 2.0 written by Russell Jurney and published by "O'Reilly Media, Inc.". This book was released on 2017-06-07 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track

Intelligent Systems: Theory, Research and Innovation in Applications

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Publisher : Springer Nature
ISBN 13 : 3030387046
Total Pages : 367 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligent Systems: Theory, Research and Innovation in Applications by : Ricardo Jardim-Goncalves

Download or read book Intelligent Systems: Theory, Research and Innovation in Applications written by Ricardo Jardim-Goncalves and published by Springer Nature. This book was released on 2020-03-03 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Water Reuse

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Publisher : McGraw Hill Professional
ISBN 13 : 0071508775
Total Pages : 1610 pages
Book Rating : 4.0/5 (715 download)

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Book Synopsis Water Reuse by : Metcalf & Eddy, Inc., an AECOM Company

Download or read book Water Reuse written by Metcalf & Eddy, Inc., an AECOM Company and published by McGraw Hill Professional. This book was released on 2007-02-05 with total page 1610 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Integrated Approach to Managing the World's Water Resources Water Reuse: Issues, Technologies, and Applications equips water/wastewater students, engineers, scientists, and professionals with a definitive account of the latest water reclamation, recycling, and reuse theory and practice. This landmark textbook presents an integrated approach to all aspects of water reuse _ from public health protection to water quality criteria and regulations to advanced technology to implementation issues. Filled with over 500 detailed illustrations and photographs, Water Reuse: Issues, Technology, and Applications features: In-depth coverage of cutting-edge water reclamation and reuse applications Current issues and developments in public health and environmental protection criteria, regulations, and risk management Review of current advanced treatment technologies, new developments, and practices Special emphasis on process reliability and multiple barrier concepts approach Consideration of satellite and decentralized water reuse facilities Consideration of planning and public participation of water reuse Inside This Landmark Water/Wastewater Management Tool • Water Reuse: An Introduction • Health and Environmental Concerns in Water Reuse • Technologies and Systems for Water Reclamation and Reuse • Water Reuse Applications • Implementing Water Reuse

Machine Learning Theory and Applications

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Publisher : John Wiley & Sons
ISBN 13 : 1394220626
Total Pages : 516 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Machine Learning Theory and Applications by : Xavier Vasques

Download or read book Machine Learning Theory and Applications written by Xavier Vasques and published by John Wiley & Sons. This book was released on 2024-01-11 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Theory and Applications Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps). Additional topics covered in Machine Learning Theory and Applications include: Current use cases of AI, including making predictions, recognizing images and speech, performing medical diagnoses, creating intelligent supply chains, natural language processing, and much more Classical and quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, quantum neural networks, and quantum generative adversarial networks (qGANs) Different ways to manipulate data, such as handling missing data, analyzing categorical data, or processing time-related data Feature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applications Machine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra.

Data Integration in the Life Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 3540365931
Total Pages : 308 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Data Integration in the Life Sciences by : Ulf Leser

Download or read book Data Integration in the Life Sciences written by Ulf Leser and published by Springer Science & Business Media. This book was released on 2006-07-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Data Integration in the Life Sciences, DILS 2006, held in Hinxton, UK in July 2006. Presents 19 revised full papers and 4 revised short papers together with 2 keynote talks, addressing current issues in data integration from the life science point of view. The papers are organized in topical sections on data integration, text mining, systems, and workflow.

Enhancing Business Communications and Collaboration Through Data Science Applications

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Publisher : IGI Global
ISBN 13 : 1668467887
Total Pages : 280 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Enhancing Business Communications and Collaboration Through Data Science Applications by : Geada, Nuno

Download or read book Enhancing Business Communications and Collaboration Through Data Science Applications written by Geada, Nuno and published by IGI Global. This book was released on 2023-03-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Financial Data Analytics

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Publisher : Springer Nature
ISBN 13 : 3030837998
Total Pages : 393 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Financial Data Analytics by : Sinem Derindere Köseoğlu

Download or read book Financial Data Analytics written by Sinem Derindere Köseoğlu and published by Springer Nature. This book was released on 2022-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

Data Science and Machine Learning

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Publisher : CRC Press
ISBN 13 : 1000730778
Total Pages : 538 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Data Science and Machine Learning by : Dirk P. Kroese

Download or read book Data Science and Machine Learning written by Dirk P. Kroese and published by CRC Press. This book was released on 2019-11-20 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Software Engineering Perspectives in Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 3030633225
Total Pages : 1167 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Software Engineering Perspectives in Intelligent Systems by : Radek Silhavy

Download or read book Software Engineering Perspectives in Intelligent Systems written by Radek Silhavy and published by Springer Nature. This book was released on 2020-12-15 with total page 1167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results.

Advanced Practice Nursing: Essential Knowledge for the Profession

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Publisher : Jones & Bartlett Learning
ISBN 13 : 1284176126
Total Pages : 968 pages
Book Rating : 4.2/5 (841 download)

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Book Synopsis Advanced Practice Nursing: Essential Knowledge for the Profession by : Susan M. DeNisco

Download or read book Advanced Practice Nursing: Essential Knowledge for the Profession written by Susan M. DeNisco and published by Jones & Bartlett Learning. This book was released on 2019-10-11 with total page 968 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Practice Nursing:Essential Knowledge for the Profession, Fourth Edition is a core advanced practice text used in both Master's Level and DNP programs.