2020 Ieee International Conference On Smart Data Services Smds
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2020 IEEE International Conference on Smart Data Services (SMDS)
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-10-19 |
| Genre | : |
| ISBN | : 9781728187785 |
This affiliated technical conference of IEEE SERVICES aims to share and promote novel data science & engineering research results that would be impactful to the advancement of data driven applications and solutions under the as a service model It complements the other affiliated technical conferences with a holistic view on data driven innovations such as those in the areas of smart data, big data, blockchain, and heterogeneous data modeling Data enabled learning based technologies (e g , deep learning, graph based learning, federated learning, AI, cognitive computing, knowledge networks, and multi modal forecasting & prediction) are advocated as key data enabled value generating technologies Important non functional technologies that are key to the adoption, consuming, and or continuous improvement of smart data service technologies include data provenance security privacy, model explainability & fairness, model risk management, scalable & secure distributed dataflows, and ModelOps
New Trends and Challenges in Open Data
| Author | : Vijayalakshmi Kakulapati |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 126 |
| Release | : 2023-10-04 |
| Genre | : Computers |
| ISBN | : 183769592X |
Data is often open to all users and sharers. Governments provide data on publicly available websites and this data may pertain to specific regions or be aggregate data on national or international issues. Data that is in the public domain but not in a machine-readable format is considered public data and may only be accessible via a right-of-access request. Maintaining accuracy and management is a major obstacle when it comes to data systems and solutions. Data governance describes the rules, procedures, and responsibilities that outline the data's acquisition, storage, retrieval and use. Data security and privacy refer to safeguards put in place to protect information from being seen, copied, distributed, altered, or destroyed without permission. Data integration and interoperability involve combining and exchanging data from many sources, systems, and formats, as well as facilitating data sharing and collaboration across various platforms, apps, and organizations. Defining data standards, implementing data quality checks, assigning data ownership and responsibility, and monitoring data performance and utilization are all important steps toward resolving the data quality problem. This book contains two sections. “Trends and Challenges of Open Data” and “Case Studies”. Each section contains three chapters.
The Data-Driven Blockchain Ecosystem
| Author | : Alex Khang |
| Publisher | : CRC Press |
| Total Pages | : 289 |
| Release | : 2022-12-29 |
| Genre | : Computers |
| ISBN | : 1000802019 |
This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.
Parallel Processing and Applied Mathematics
| Author | : Roman Wyrzykowski |
| Publisher | : Springer Nature |
| Total Pages | : 487 |
| Release | : 2023-04-27 |
| Genre | : Computers |
| ISBN | : 303130442X |
This two-volume set, LNCS 13826 and LNCS 13827, constitutes the proceedings of the 14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022, held in Gdansk, Poland, in September 2022. The 77 regular papers presented in these volumes were selected from 132 submissions. For regular tracks of the conference, 33 papers were selected from 62 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; parallel non-numerical algorithms; GPU computing; performance analysis and prediction in HPC systems; scheduling for parallel computing; environments and frameworks for parallel/cloud computing; applications of parallel and distributed computing; soft computing with applications and special session on parallel EVD/SVD and its application in matrix computations. Part II: 9th Workshop on Language-Based Parallel Programming (WLPP 2022); 6th Workshop on Models, Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2022); first workshop on quantum computing and communication; First Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing (WAML 2022); 4th workshop on applied high performance numerical algorithms for PDEs; 5th minisymposium on HPC applications in physical sciences; 8th minisymposium on high performance computing interval methods; 7th workshop on complex collective systems.
Foundations of Data Intensive Applications
| Author | : Supun Kamburugamuve |
| Publisher | : John Wiley & Sons |
| Total Pages | : 416 |
| Release | : 2021-08-11 |
| Genre | : Computers |
| ISBN | : 1119713013 |
PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems
Internet of Production
| Author | : Christian Brecher |
| Publisher | : Springer Nature |
| Total Pages | : 537 |
| Release | : 2024-01-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3031444973 |
This seminal compendium, available through open access, illuminates the forefront of digital collaboration in production. It introduces the visionary concept of the Internet of Production (IoP), an ambitious initiative by Germany's esteemed Cluster of Excellence at RWTH Aachen University. This handbook pioneers the integration of data, models, and knowledge across development, production, and user cycles, offering interdisciplinary insights into production technology's horizons with the overall objective to create a worldwide lab. The work is organized into seven key parts, each contributing to a comprehensive understanding of the IoP. Part I lays the foundation with interdisciplinary visions and concepts. Part II delves into IoP's infrastructure, encompassing digital shadows and actionable artificial intelligence. Part III examines materials within the digitalized production landscape. Part IV confronts the challenges and potentials of production processes under novel digitalization methods. Part V focuses on production management with data-driven decision support, while Part VI explores agile development processes. Finally, Part VII delves into the interplay between internal and external perspectives in the IoP, human-centered work design, and platform-based ecosystems. Supported by the German Research Foundation (DFG), this compendium redefines manufacturing through the transformative IoP lens. Embrace this scholarly endeavor to embrace technological advancement. This is an open access book.
Web and Big Data. APWeb-WAIM 2021 International Workshops
| Author | : Yunjun Gao |
| Publisher | : Springer Nature |
| Total Pages | : 138 |
| Release | : 2021-12-03 |
| Genre | : Computers |
| ISBN | : 9811681430 |
This book constitutes revised selected papers from the workshops of the 5th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2021: The Fourth International Workshop on Knowledge Graph Management and Applications, KGMA 2021, The Third International Workshop on Semi-structured Big Data Management and Application, SemiBDMA 2021, and The Second International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2021, held in Guangzhou, China, in August 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers were thoroughly reviewed and selected from the 28 submissions and present recent research on the theory, design, and implementation of data management systems.
Advances in Knowledge Discovery and Data Mining
| Author | : Kamal Karlapalem |
| Publisher | : Springer Nature |
| Total Pages | : 794 |
| Release | : 2021-05-07 |
| Genre | : Computers |
| ISBN | : 303075765X |
The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.
New Trends in Database and Information Systems
| Author | : Ladjel Bellatreche |
| Publisher | : Springer Nature |
| Total Pages | : 332 |
| Release | : 2021-08-10 |
| Genre | : Computers |
| ISBN | : 303085082X |
This book constitutes thoroughly reviewed and selected short papers presented at the 25th East-European Conference on Advances in Databases and Information Systems, ADBIS 2021, as well as papers presented at doctoral consortium and ADBIS 2021 workshops. Due to the COVID-19 the conference and satellite events were held in hybrid mode. The 11 full papers and 18 short papers were carefully reviewed and selected from 97 total submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data - From Data to Knowledge, DOING 2021; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2021; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2021; Workshop on Advances in Data Systems Management, Engineering, and Analytics, MegaData 2021; Workshop on Computational Aspects of Network Science, CAoNS 2021; Doctoral Consortium.
