Advances in Intelligent Data Analysis XXII

Advances in Intelligent Data Analysis XXII PDF

Author: Ioanna Miliou

Publisher: Springer

Published: 2024-05-17

Total Pages: 0

ISBN-13: 9783031585555

DOWNLOAD EBOOK →

The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in the proceedings were carefully reviewed and selected from 94 submissions. IDA is an international symposium presenting advances in the intelligent analysis of data. Distinguishing characteristics of IDA are its focus on novel, inspiring ideas, its focus on research, and its relatively small scale.

Advances in Intelligent Data Analysis XXII

Advances in Intelligent Data Analysis XXII PDF

Author: Ioanna Miliou

Publisher: Springer

Published: 2024-05-17

Total Pages: 0

ISBN-13: 9783031585463

DOWNLOAD EBOOK →

The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in the proceedings were carefully reviewed and selected from 94 submissions. IDA is an international symposium presenting advances in the intelligent analysis of data. Distinguishing characteristics of IDA are its focus on novel, inspiring ideas, its focus on research, and its relatively small scale.

Advances in Intelligent Data Analysis XXI

Advances in Intelligent Data Analysis XXI PDF

Author: Bruno Crémilleux

Publisher: Springer Nature

Published: 2023-03-31

Total Pages: 514

ISBN-13: 3031300475

DOWNLOAD EBOOK →

This book constitutes the proceedings of the 21st International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Louvain-la-Neuve, Belgium, during April 12-14, 2023. The 38 papers included in this book were carefully reviewed and selected from 91 submissions. IDA is an international symposium presenting advances in the intelligent analysis of data. Distinguishing characteristics of IDA are its focus on novel, inspiring ideas, its focus on research, and its relatively small scale.

Advances in Intelligent Data Analysis XX

Advances in Intelligent Data Analysis XX PDF

Author: Tassadit Bouadi

Publisher: Springer Nature

Published: 2022-04-06

Total Pages: 418

ISBN-13: 3031013336

DOWNLOAD EBOOK →

This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis.

Advances in Intelligent Data Analysis XVIII

Advances in Intelligent Data Analysis XVIII PDF

Author: Michael R. Berthold

Publisher: Springer Nature

Published: 2020-04-22

Total Pages: 601

ISBN-13: 3030445844

DOWNLOAD EBOOK →

This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.

Advances in Intelligent Data Analysis VIII

Advances in Intelligent Data Analysis VIII PDF

Author: Niall M. Adams

Publisher: Springer Science & Business Media

Published: 2009-08-17

Total Pages: 429

ISBN-13: 3642039146

DOWNLOAD EBOOK →

This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Analysis, IDA 2009, held in Lyon, France, August 31 – September 2, 2009. The 33 revised papers, 18 full oral presentations and 15 poster and short oral presentations, presented were carefully reviewed and selected from almost 80 submissions. All current aspects of this interdisciplinary field are addressed; for example interactive tools to guide and support data analysis in complex scenarios, increasing availability of automatically collected data, tools that intelligently support and assist human analysts, how to control clustering results and isotonic classification trees. In general the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

Intelligent Data Analysis

Intelligent Data Analysis PDF

Author: Michael R. Berthold

Publisher: Springer

Published: 2007-06-07

Total Pages: 515

ISBN-13: 3540486259

DOWNLOAD EBOOK →

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Advances in Intelligent Data Analysis and Applications

Advances in Intelligent Data Analysis and Applications PDF

Author: Jeng-Shyang Pan

Publisher: Springer Nature

Published: 2021-11-25

Total Pages: 379

ISBN-13: 9811650365

DOWNLOAD EBOOK →

This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15–18, 2019, Arad, Romania. This edition is technically co-sponsored by “Aurel Vlaicu” University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications.