Advances in Intelligent Data Analysis XXII
Author | : Ioanna Miliou |
Publisher | : Springer Nature |
Total Pages | : 278 |
Release | : |
Genre | : |
ISBN | : 303158547X |
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Author | : Ioanna Miliou |
Publisher | : Springer Nature |
Total Pages | : 278 |
Release | : |
Genre | : |
ISBN | : 303158547X |
Author | : Ioanna Miliou |
Publisher | : Springer Nature |
Total Pages | : 286 |
Release | : |
Genre | : |
ISBN | : 3031585534 |
Author | : Ioanna Miliou |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-05-17 |
Genre | : Computers |
ISBN | : 9783031585555 |
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.
Author | : Ioanna Miliou |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-05-17 |
Genre | : Computers |
ISBN | : 9783031585463 |
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.
Author | : Michael R. Berthold |
Publisher | : Springer Nature |
Total 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.
Author | : Bruno Crémilleux |
Publisher | : Springer Nature |
Total 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.
Author | : Frank Hoffmann |
Publisher | : |
Total Pages | : 402 |
Release | : 2014-01-15 |
Genre | : |
ISBN | : 9783662211601 |
Author | : Tassadit Bouadi |
Publisher | : Springer Nature |
Total 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.
Author | : Michael R. Berthold |
Publisher | : Springer |
Total Pages | : 638 |
Release | : 2011-03-16 |
Genre | : Computers |
ISBN | : 3540452311 |
We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in 1995 in Baden-Baden (Germany) it quickly attractedmoreinterest(bothsubmission-andattendance-wise),andmovedfrom London (1997) to Amsterdam (1999), and two years ago to Lisbon. Submission ratesalongwiththeeverimprovingqualityofpapershaveenabledtheor- nizers to assemble increasingly consistent and high-quality programs. This year we were again overwhelmed by yet another record-breaking submission rate of 180 papers. At the Program Chairs meeting we were – based on roughly 500 reviews – in the lucky position of carefully selecting 17 papers for oral and 42 for poster presentation. Poster presenters were given the opportunity to summarize their papers in 3-minute spotlight presentations. The oral, spotlight and poster presentations were then scheduled in a single-track, 2. 5-day conference program, summarized in this book. In accordance with the goal of IDA, “to bring together researchers from diverse disciplines,” we achieved a nice balance of presentations from the more theoreticalside(bothstatisticsandcomputerscience)aswellasmoreapplicati- oriented areas that illustrate how these techniques can be used in practice. Work presented in these proceedings ranges from theoretical contributions dealing, for example, with data cleaning and compression all the way to papers addressing practical problems in the areas of text classi?cation and sales-rate predictions. A considerable number of papers also center around the currently so popular applications in bioinformatics.
Author | : Xiaohui Liu |
Publisher | : Springer Science & Business Media |
Total Pages | : 644 |
Release | : 1997-07-23 |
Genre | : Business & Economics |
ISBN | : 9783540633464 |
This book constitutes the refereed proceedings of the Second International Symposium on Intelligent Data Analysis, IDA-97, held in London, UK, in August 1997. The volume presents 50 revised full papers selected from a total of 107 submissions. Also included is a keynote, Intelligent Data Analysis: Issues and Opportunities, by David J. Hand. The papers are organized in sections on exploratory data analysis, preprocessing and tools; classification and feature selection; medical applications; soft computing; knowledge discovery and data mining; estimation and clustering; data quality; qualitative models.