Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

This book presents the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, held in Rennes, France. It includes 31 papers selected from 73 submissions, covering high-quality, novel research in intelligent data analysis.

Format: Paperback / softback
Length: 406 pages
Publication date: 07 April 2022
Publisher: Springer International Publishing AG

The 20th International Symposium on Intelligent Data Analysis (IDA 2022) was held in Rennes, France, from April 20 to 22, 2022. This book serves as a compilation of the proceedings of the symposium, featuring 31 papers that were meticulously reviewed and chosen from a total of 73 submissions. The papers presented in this volume encompass cutting-edge and novel research in the field of intelligent data analysis, showcasing the latest advancements and innovations in this rapidly evolving domain.

The 20th International Symposium on Intelligent Data Analysis (IDA 2022) was a prestigious event that took place in Rennes, France, from April 20 to 22, 2022. This symposium brought together experts and researchers from around the world to discuss and explore the latest trends and advancements in intelligent data analysis.

The book that captures the proceedings of IDA 2022 consists of 31 carefully selected papers that were submitted by researchers from various countries. These papers represent the state-of-the-art in intelligent data analysis, covering a wide range of topics such as machine learning, data mining, natural language processing, and big data analytics.

The review process for the papers was rigorous, with each submission being evaluated by a panel of expert reviewers. The selection criteria included the originality of the research, the significance of the findings, and the quality of the presentation. Only the most exceptional papers that met these criteria were accepted for inclusion in the book.

The 31 papers included in this book cover a diverse range of topics and approaches, reflecting the interdisciplinary nature of intelligent data analysis. Some of the key themes explored in the papers include:

Machine learning: The papers in this section discuss various machine learning algorithms and techniques, such as supervised learning, unsupervised learning, and reinforcement learning. They explore the applications of machine learning in fields such as image recognition, speech recognition, natural language processing, and fraud detection.

Data mining: The papers in this section explore the techniques and algorithms used in data mining, such as association rule mining, clustering, and anomaly detection. They discuss the applications of data mining in areas such as healthcare, finance, and marketing.

Natural language processing: The papers in this section discuss the techniques and algorithms used in natural language processing, such as sentiment analysis, topic modeling, and machine translation. They explore the applications of natural language processing in areas such as social media analysis, customer service, and healthcare.

Big data analytics: The papers in this section discuss the challenges and opportunities associated with big data analysis, such as data storage, processing, and visualization. They explore the applications of big data analytics in areas such as healthcare, finance, and transportation.

The 20th International Symposium on Intelligent Data Analysis (IDA 2022) was a significant event that showcased the latest research and developments in intelligent data analysis. The papers included in this book provide valuable insights into the state-of-the-art in this field and will be of interest to researchers, practitioners, and students alike.

In conclusion, the 20th International Symposium on Intelligent Data Analysis (IDA 2022) was a remarkable event that brought together experts and researchers from around the world to discuss and explore the latest trends and advancements in intelligent data analysis. The book that captures the proceedings of this symposium is a valuable resource for anyone interested in this field, providing a comprehensive overview of the state-of-the-art research and innovations in intelligent data analysis.

Weight: 640g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031013324
Edition number: 1st ed. 2022