LEADER 03599nam a22005655i 4500001    99131228996906421
005    20240809130252.0
006    m     o  d |
007    cr cnu||||||||
008    240809s2024    sz |    o    |||| 0|eng d
020    3-031-65993-7
024 7  10.1007/978-3-031-65993-5 |2doi
035    (MiAaPQ)EBC31596387
035    (Au-PeEL)EBL31596387
035    (CKB)33830857800041
035    (DE-He213)978-3-031-65993-5
035    (EXLCZ)9933830857800041
040    MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ
050  4 QA276.A1 |b.C663 2024
072  7 UN |2bicssc
072  7 COM018000 |2bisacsh
072  7 UN |2thema
082 0  519.5 |223
245 10 Combining, Modelling and Analyzing Imprecision, Randomness and Dependence / |cedited by Jonathan Ansari, Sebastian Fuchs, Wolfgang Trutschnig, María Asunción Lubiano, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz.
250    1st ed. 2024.
264  1 Cham : |bSpringer Nature Switzerland : |bImprint: Springer, |c2024.
300    1 online resource (579 pages)
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
490 1  Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1458
504    Includes bibliographical references and index.
520    This volume contains more than 65 peer-reviewed papers corresponding to presentations at the 11th Conference on Soft Methods in Probability and Statistics (SMPS) held in Salzburg, Austria, in September 2024. It covers recent advances in the field of probability, statistics, and data science, with a particular focus on dealing with dependence, imprecision and incomplete information. Reflecting the fact that data science continues to evolve, this book serves as a bridge between different groups of experts, including statisticians, mathematicians, computer scientists, and engineers, and encourages interdisciplinary research. The selected contributions cover a wide range of topics such as imprecise probabilities, random sets, belief functions, possibility theory, and dependence modeling. Readers will find discussions on clustering, depth concepts, dimensionality reduction, and robustness, reflecting the conference's commitment to addressing real-world challenges through innovative methods. .
650  0 Engineering |xData processing.
650  0 Computational intelligence.
650  0 Artificial intelligence.
650 14 Data Engineering.
650 24 Computational Intelligence.
650 24 Artificial Intelligence.
776     |z3-031-65992-9
700 1  Ansari, Jonathan, |eeditor.
830  0 Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1458
906    BOOK