Time series analysis, modeling and applications : a computational intelligence perspective
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Int...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| سلاسل: | Intelligent Systems Reference Library
47 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Time Series Analysis, Modeling and Applications, Texte imprimé, 9783642334382 • Time Series Analysis, Modeling and Applications, Texte imprimé, 9783642334405 • Time Series Analysis, Modeling and Applications, Texte imprimé, 9783642437007 |
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|---|---|---|---|
| 001 | 950181 | ||
| 008 | 130325q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN168324490 | ||
| 020 | |a 9783642334399 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Pedrycz, Witold, |d 1953- | |
| 245 | 1 | 0 | |a Time series analysis, modeling and applications : |b a computational intelligence perspective |c edited by Witold Pedrycz, Shyi-Ming Chen. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Intelligent Systems Reference Library |v 47 |x 1868-4408 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a From the Contents: The links between statistical and fuzzy models for time series analysis and forecasting -- Incomplete time series: imputation through Genetic Algorithms -- Intelligent aggregation and time series smoothing -- Financial fuzzy Time series models based on ordered fuzzy numbers -- Stochastic-fuzzy knowledge-based approach to temporal data modeling.-A Novel Choquet integral composition forecasting model for time series data based on completed extensional L-measure -- An application of enhanced knowledge models to fuzzy time series -- A wavelet transform approach to chaotic short-term forecasting -- Fuzzy forecasting with fractal analysis for the time series of environmental pollution -- Support vector regression with kernel Mahalanobis measure for financial forecast. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments. | ||
| 776 | 0 | |t Time Series Analysis, Modeling and Applications |b Texte imprimé |z 9783642334382 | |
| 776 | 0 | |t Time Series Analysis, Modeling and Applications |b Texte imprimé |z 9783642334405 | |
| 776 | 0 | |t Time Series Analysis, Modeling and Applications |b Texte imprimé |z 9783642437007 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-33439-9 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://doi.org/10.1007/978-3-642-33439-9 |z Accès sur la plateforme de l'éditeur (Springer) | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-G93Z9G1C-F |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748050558 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-33439-9 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751501751 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-33439-9 |z Accès INSA CVL | |
| 997 | |0 950181 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||