6. Symbolic Data Analysis

Ordinal and symbolic data analysis

Symbolic Analysis of Financial Data

We have as input two portfolio of stocks managed by ING bank (North Holland). Each portfolio and each stock is described by several variables every open day of a week and during eight weeks. A portfolio is characterised by variables as its value, its performance, a stock is characterised by variable as its value, its number in the portfolio and its performance. In this paper, we study a symboli...

Symbolic Data Analysis and Formal Concept Analysis

Formal concept analysis (FCA) can be used for designing concept lattices from binary data for knowledge discovery purposes. Pattern structures in FCA are able to deal with complex data. In addition, this formalism provides a concise and an efficient algorithmic view of the formalism of symbolic data analysis (SDA).

Symbolic Data Analysis: Definitions and Examples

With the advent of computers, large, very large datasets have become routine. What is not so routine is how to analyse these data and/or how to glean useful information from within their massive confines. One approach is to summarize large data sets in such a way that the resulting summary dataset is of a manageable size. One consequence of this is that the data may no longer be formatted as si...

Santa Barbara Symbolic Data Path Analysis

In ASIC construction, design changes can occur at all phases of the product development cycle. When changes occur late in the development cycle, say after datapath synthesis and verification, it can be very expensive not to maintain a significant portion of the pre-existing design. However, changes in this environment require accommodation of the limitations of the pre-existing data-path, which...