Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
Studies in Classification, Data Analysis, and Knowledge Organization

Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Wolfgang A. Gaul والمزيد
    • ‏84٫99 US$
    • ‏84٫99 US$

وصف الناشر

This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٦ فبراير
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Advances in Data Analysis Advances in Data Analysis
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Data Science and Classification Data Science and Classification
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From Data and Information Analysis to Knowledge Engineering From Data and Information Analysis to Knowledge Engineering
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Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
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Knowledge Discovery in Spatial Data Knowledge Discovery in Spatial Data
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Advanced Statistical Methods for the Analysis of Large Data-Sets Advanced Statistical Methods for the Analysis of Large Data-Sets
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Classification - the Ubiquitous Challenge Classification - the Ubiquitous Challenge
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Cooperation in Classification and Data Analysis Cooperation in Classification and Data Analysis
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Data Science Data Science
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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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