This volume presents recent methodological developments in data analysis and classification. It covers a wide range of topics, including methods for classification and clustering, dissimilarity analysis, consensus methods, conceptual analysis of data, and data mining and knowledge discovery in databases. The book also presents a wide variety of applications, in fields such as biology, micro-array analysis, cyber traffic, and bank fraud detection.
This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed ...
The contributions gathered in this book focus on modern methods for statistical learning and modeling in data analysis and present a series of engaging real-world applications.
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification.
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory ...
Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, ... ATKINSON, A.C., RIANI, M. and CERIOLI, A. (2004): Exploring Multivariate Data with the Forward Search.
Multivariate statistics for wildlife and ecology research. New York: Springer Ritchie, J. (1996). Fundamental analysis. A back-to the basics investment guide to selecting quality stocks. Chicago: Irwin Professional Rutkowska-Ziarko, ...
This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in ...
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, ...
Dijksterhuis, G.: Multivariate data analysis in sensory and consumer science: an overview of developments. ... T.: Detecting individual differences among assessors and differences among replicates in sensory profiling, Food Qual.
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.