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 및 다른 저자
    • US$119.99
    • US$119.99

출판사 설명

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.

장르
과학 및 자연
출시일
2009년
6월 17일
언어
EN
영어
길이
220
페이지
출판사
Springer Berlin Heidelberg
판매자
Springer Nature B.V.
크기
6.1
MB
Data Science and Classification Data Science and Classification
2006년
Advances in Data Analysis Advances in Data Analysis
2007년
From Data and Information Analysis to Knowledge Engineering From Data and Information Analysis to Knowledge Engineering
2006년
COMPSTAT 2006 - Proceedings in Computational Statistics COMPSTAT 2006 - Proceedings in Computational Statistics
2007년
Data Analysis Data Analysis
2013년
Innovations in Classification, Data Science, and Information Systems Innovations in Classification, Data Science, and Information Systems
2006년
Facets of Behaviormetrics Facets of Behaviormetrics
2023년
Methods for the Analysis of Asymmetric Proximity Data Methods for the Analysis of Asymmetric Proximity Data
2021년
Advanced Studies in Classification and Data Science Advanced Studies in Classification and Data Science
2020년
Analysis and Modeling of Complex Data in Behavioral and Social Sciences Analysis and Modeling of Complex Data in Behavioral and Social Sciences
2014년
German-Japanese Interchange of Data Analysis Results German-Japanese Interchange of Data Analysis Results
2013년
Data Science Data Science
2017년
Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
2012년
Statistical Models and Learning Methods for Complex Data Statistical Models and Learning Methods for Complex Data
2025년
Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
2025년
Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
2024년
Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
2023년