Data Science Data Science
Studies in Classification, Data Analysis, and Knowledge Organization

Data Science

Innovative Developments in Data Analysis and Clustering

Francesco Palumbo والمزيد
    • ‏109٫99 US$
    • ‏109٫99 US$

وصف الناشر

This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.

النوع
علم وطبيعة
تاريخ النشر
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٤ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
٣٥٨
الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
New Statistical Developments in Data Science New Statistical Developments in Data Science
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Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
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Advances in Data Analysis Advances in Data Analysis
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Integrated Uncertainty in Knowledge Modelling and Decision Making Integrated Uncertainty in Knowledge Modelling and Decision Making
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COMPSTAT 2006 - Proceedings in Computational Statistics COMPSTAT 2006 - Proceedings in Computational Statistics
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Studies in Theoretical and Applied Statistics Studies in Theoretical and Applied Statistics
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Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
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Incanti Armoniosi Incanti Armoniosi
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Specchio Rifletto Specchio Rifletto
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Data Analysis and Classification Data Analysis and Classification
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Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
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Statistical Models and Learning Methods for Complex Data Statistical Models and Learning Methods for Complex Data
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Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
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Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
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Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
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Modern Classification and Data Analysis Modern Classification and Data Analysis
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