03749nam 22006855 450 991043792610332120251113185824.0978128391250112839125039783642330421364233042810.1007/978-3-642-33042-1(CKB)2670000000253933(EBL)1082640(OCoLC)811249949(SSID)ssj0000767205(PQKBManifestationID)11451751(PQKBTitleCode)TC0000767205(PQKBWorkID)10739893(PQKB)10373021(DE-He213)978-3-642-33042-1(MiAaPQ)EBC1082640(PPN)168323397(EXLCZ)99267000000025393320120913d2013 u| 0engur|n|---|||||txtccrSynergies of Soft Computing and Statistics for Intelligent Data Analysis /edited by Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz1st ed. 2013.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2013.1 online resource (554 p.)Advances in Intelligent Systems and Computing,2194-5365 ;190Description based upon print version of record.9783642330414 364233041X Includes bibliographical references and index.PART I Invited Papers -- PART II Foundations -- PART III Statistical Methods -- PART IV Mathematical Aspects -- PART V Engineering.In recent years there has been a growing interest to extend classical methods for data analysis. The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance. Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness --- various types of incomplete or subjective information have to be handled. About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS). This book gathers contributions presented at the SMPS'2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.Advances in Intelligent Systems and Computing,2194-5365 ;190Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.519.5Kruse Rudolf102093International Conference on Soft Methods in Probability and Statistics(6th :2012 :Konstanz, Germany)MiAaPQMiAaPQMiAaPQBOOK9910437926103321Synergies of soft computing and statistics for intelligent data analysis4184387UNINA