From Data to Models and Back: 10th International Symposium, DataMod 2021, Virtual Event, December 6-7, 2021, Revised Selected Papers

This book presents the refereed proceedings of the 10th International Symposium From Data Models and Back,DataMod 2021, including 9 full papers and 1 short paper on various topics in data modeling and processing.

Format: Paperback / softback
Length: 193 pages
Publication date: 15 October 2022
Publisher: Springer International Publishing AG

The 10th International Symposium From Data Models and Back,DataMod 2021, held virtually during December 6-7, 2021, as a satellite event of SEFM 2021, has been compiled into this comprehensive book. It features a collection of 9 full papers and 1 short paper, meticulously reviewed and chosen from a total of 12 submissions. These papers have been organized into topical sections, covering key areas such as model verification, data mining and processing related approaches, and other innovative approaches.

The symposium aimed to bring together researchers and practitioners from diverse fields to explore the latest advancements and challenges in data modeling and back-end systems. The participants presented their research findings, discussed emerging trends, and exchanged ideas to foster collaboration and advance the state-of-the-art in this field.

The book offers a valuable resource for academics, researchers, and professionals interested in data modeling, data mining, and related areas. It provides a platform for disseminating cutting-edge research, promoting knowledge exchange, and fostering interdisciplinary collaborations.

The contributions in this book cover a wide range of topics, including but not limited to:

Model Verification: This section explores techniques and methodologies for verifying the correctness and reliability of data models, including statistical analysis, simulation, and machine learning.

Data Mining and Processing Related Approaches: This section focuses on developing efficient and effective algorithms for data mining tasks such as classification, clustering, and anomaly detection. It also discusses the application of data mining techniques in various domains, such as healthcare, finance, and social sciences.

Other Approaches: This section showcases innovative approaches to data modeling and back-end systems, such as graph databases, distributed systems, and artificial intelligence. It explores the potential of these technologies in addressing complex data management challenges and enabling data-driven decision-making.

The quality and originality of the research presented in this book are a testament to the dedication and expertise of the participants. The editors have done an excellent job in organizing the papers into coherent sections and providing insightful commentary and references.

We believe that this book will be a valuable asset to the academic community and will contribute to the further development of data modeling and back-end systems. We hope that it will inspire new research and foster collaborations among researchers and practitioners in this field.

The 10th International Symposium From Data Models and Back,DataMod 2021, held virtually during December 6-7, 2021, as a satellite event of SEFM 2021, has been compiled into this comprehensive book. It features a collection of 9 full papers and 1 short paper, meticulously reviewed and chosen from a total of 12 submissions. These papers have been organized into topical sections, covering key areas such as model verification, data mining and processing related approaches, and other innovative approaches.

The symposium aimed to bring together researchers and practitioners from diverse fields to explore the latest advancements and challenges in data modeling and back-end systems. The participants presented their research findings, discussed emerging trends, and exchanged ideas to foster collaboration and advance the state-of-the-art in this field.

The book offers a valuable resource for academics, researchers, and professionals interested in data modeling, data mining, and related areas. It provides a platform for disseminating cutting-edge research, promoting knowledge exchange, and fostering interdisciplinary collaborations.

The contributions in this book cover a wide range of topics, including but not limited to:

Model Verification:

This section explores techniques and methodologies for verifying the correctness and reliability of data models, including statistical analysis, simulation, and machine learning. It also discusses the application of data mining techniques in various domains, such as healthcare, finance, and social sciences.

Data Mining and Processing Related Approaches:

This section focuses on developing efficient and effective algorithms for data mining tasks such as classification, clustering, and anomaly detection. It also discusses the application of data mining techniques in various domains, such as healthcare, finance, and social sciences.

Other Approaches:

This section showcases innovative approaches to data modeling and back-end systems, such as graph databases, distributed systems, and artificial intelligence. It explores the potential of these technologies in addressing complex data management challenges and enabling data-driven decision-making.

The quality and originality of the research presented in this book are a testament to the dedication and expertise of the participants. The editors have done an excellent job in organizing the papers into coherent sections and providing insightful commentary and references.

We believe that this book will be a valuable asset to the academic community and will contribute to the further development of data modeling and back-end systems. We hope that it will inspire new research and foster collaborations among researchers and practitioners in this field.

Weight: 320g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031160103
Edition number: 1st ed. 2022