Advances in Intelligent Data Analysis XVII
Title | Advances in Intelligent Data Analysis XVII PDF eBook |
Author | Wouter Duivesteijn |
Publisher | Springer |
Pages | 403 |
Release | 2018-10-10 |
Genre | Computers |
ISBN | 3030017680 |
This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in ‘s-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.
Advances in Intelligent Data Analysis XVII
Title | Advances in Intelligent Data Analysis XVII PDF eBook |
Author | Wouter Duivesteijn |
Publisher | |
Pages | 394 |
Release | 2018 |
Genre | Mathematical statistics |
ISBN | 9783030017699 |
This book constitutes the conference proceedings of the 17th International Symposium on Intelligent Data Analysis, which was held in October 2018 in ‘s-Hertogenbosch, the Netherlands. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis. The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems.
Advances in Intelligent Data Analysis XX
Title | Advances in Intelligent Data Analysis XX PDF eBook |
Author | Tassadit Bouadi |
Publisher | Springer Nature |
Pages | 418 |
Release | 2022-04-06 |
Genre | Computers |
ISBN | 3031013336 |
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
Title | Advances in Intelligent Data Analysis XVIII PDF eBook |
Author | Michael R. Berthold |
Publisher | Springer Nature |
Pages | 601 |
Release | 2020-04-22 |
Genre | Computers |
ISBN | 3030445844 |
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
Title | Advances in Intelligent Data Analysis PDF eBook |
Author | |
Publisher | |
Pages | 79 |
Release | 2004 |
Genre | Expert systems (Computer science) |
ISBN |
Advances in Intelligent Data Analysis XXI
Title | Advances in Intelligent Data Analysis XXI PDF eBook |
Author | Bruno Crémilleux |
Publisher | Springer Nature |
Pages | 514 |
Release | 2023-03-31 |
Genre | Computers |
ISBN | 3031300475 |
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.
Intelligent Data Analysis
Title | Intelligent Data Analysis PDF eBook |
Author | Michael R. Berthold |
Publisher | Springer |
Pages | 515 |
Release | 2007-06-07 |
Genre | Computers |
ISBN | 3540486259 |
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.