Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
Introduction
- In many applications we deal with huge amount of data
- E.g. insurance company records
- Data by itself are not useful to support decisions
- E.g. can I make an insurance contract to this new customer or it is too risky?
- Thus we need a set of methods to generate from a data set a “summary” that represent a conceptualization of the data set
- E.g. what are similarities among different customers of an insurance company that divide them in different risk classes?
- Age >25, City=Innsbruck => Low Risk
- This is a common task that is needed in several domains to support data analysis
- Analysis of children suffering from diabetes
- Marketing analysis of store departments or supermarkets
- Formal Concept Analysis is a technique that enables resolution of such problems
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.