Analysis and Modeling of Complex Data in Behavioral and Social Sciences
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출판사 설명
This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems.
The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.
Advanced Statistical Methods for the Analysis of Large Data-Sets
2012년
Innovations in Classification, Data Science, and Information Systems
2006년
Advances in Data Analysis
2007년
From Data and Information Analysis to Knowledge Engineering
2006년
Data Science and Classification
2006년
New Perspectives in Partial Least Squares and Related Methods
2013년
Data Science
2017년
Challenges at the Interface of Data Analysis, Computer Science, and Optimization
2012년
Statistical Models and Learning Methods for Complex Data
2025년
Supervised and Unsupervised Statistical Data Analysis
2025년
Recent Trends and Future Challenges in Learning from Data
2024년
Statistical Models and Methods for Data Science
2023년