Advances in Intelligent Data Analysis XVII

Advances in Intelligent Data Analysis XVII
Author :
Publisher : Springer
Total Pages : 403
Release :
ISBN-10 : 9783030017682
ISBN-13 : 3030017680
Rating : 4/5 (82 Downloads)

Synopsis Advances in Intelligent Data Analysis XVII by : Wouter Duivesteijn

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

Advances in Intelligent Data Analysis XVII
Author :
Publisher :
Total Pages : 394
Release :
ISBN-10 : 3030017699
ISBN-13 : 9783030017699
Rating : 4/5 (99 Downloads)

Synopsis Advances in Intelligent Data Analysis XVII by : Wouter Duivesteijn

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.

Intelligent Data Analysis

Intelligent Data Analysis
Author :
Publisher : Springer
Total Pages : 515
Release :
ISBN-10 : 9783540486251
ISBN-13 : 3540486259
Rating : 4/5 (51 Downloads)

Synopsis Intelligent Data Analysis by : Michael R. Berthold

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 XVIII

Advances in Intelligent Data Analysis XVIII
Author :
Publisher : Springer Nature
Total Pages : 601
Release :
ISBN-10 : 9783030445843
ISBN-13 : 3030445844
Rating : 4/5 (43 Downloads)

Synopsis Advances in Intelligent Data Analysis XVIII by : Michael R. Berthold

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 XX

Advances in Intelligent Data Analysis XX
Author :
Publisher : Springer Nature
Total Pages : 418
Release :
ISBN-10 : 9783031013331
ISBN-13 : 3031013336
Rating : 4/5 (31 Downloads)

Synopsis Advances in Intelligent Data Analysis XX by : Tassadit Bouadi

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 XXI

Advances in Intelligent Data Analysis XXI
Author :
Publisher : Springer Nature
Total Pages : 514
Release :
ISBN-10 : 9783031300479
ISBN-13 : 3031300475
Rating : 4/5 (79 Downloads)

Synopsis Advances in Intelligent Data Analysis XXI by : Bruno Crémilleux

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 XII

Advances in Intelligent Data Analysis XII
Author :
Publisher : Springer
Total Pages : 476
Release :
ISBN-10 : 9783642413988
ISBN-13 : 3642413986
Rating : 4/5 (88 Downloads)

Synopsis Advances in Intelligent Data Analysis XII by : Allan Tucker

This book constitutes the refereed conference proceedings of the 12th International Conference on Intelligent Data Analysis, which was held in October 2013 in London, UK. The 36 revised full papers together with 3 invited papers were carefully reviewed and selected from 84 submissions handling all kinds of modeling and analysis methods, irrespective of discipline. 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 Data Science and Intelligent Data Communication Technologies for COVID-19

Advances in Data Science and Intelligent Data Communication Technologies for COVID-19
Author :
Publisher : Springer Nature
Total Pages : 311
Release :
ISBN-10 : 9783030773021
ISBN-13 : 3030773027
Rating : 4/5 (21 Downloads)

Synopsis Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 by : Aboul-Ella Hassanien

This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.