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

Cooperation in Classification and Data Analysis

Proceedings of Two German-Japanese Workshops

Akinori Okada والمزيد
    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

النوع
علم وطبيعة
تاريخ النشر
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١٧ يونيو
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.‬
Data Science and Classification Data Science and Classification
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Advances in Data Analysis Advances in Data Analysis
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From Data and Information Analysis to Knowledge Engineering From Data and Information Analysis to Knowledge Engineering
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COMPSTAT 2006 - Proceedings in Computational Statistics COMPSTAT 2006 - Proceedings in Computational Statistics
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Data Analysis Data Analysis
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Innovations in Classification, Data Science, and Information Systems Innovations in Classification, Data Science, and Information Systems
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Facets of Behaviormetrics Facets of Behaviormetrics
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Methods for the Analysis of Asymmetric Proximity Data Methods for the Analysis of Asymmetric Proximity Data
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Advanced Studies in Classification and Data Science Advanced Studies in Classification and Data Science
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Analysis and Modeling of Complex Data in Behavioral and Social Sciences Analysis and Modeling of Complex Data in Behavioral and Social Sciences
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German-Japanese Interchange of Data Analysis Results German-Japanese Interchange of Data Analysis Results
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Data Science Data Science
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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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