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Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such a data.

Classification Methodology for Symbolic Data:

• Provides new classification methodologies for histogram valued data reaching across many fields in data science.
• Demonstrates how to manage a large complex dataset into manageable datasets ready...

Explores the application of bootstrap to problems that place unusual demands on the method. The bootstrap method, introduced by Bradley Efron in 1973, is a nonparametric technique for inferring the distribution of a statistic derived from a sample.