Download Now Free registration required
Halls of Fame are fascinating constructs. They represent the elite of an often very large amount of entities - persons, companies, products, countries etc. Beyond their practical use as static rankings, changes to them are particularly interesting - for decision making processes, as input to common media or novel narrative science applications, or simply consumed by users. In this paper, the authors aim at detecting events that can be characterized by changes to a Hall of Fame ranking in an automated way. They describe how the schema and data of a database can be used to generate Halls of Fame. In this database scenario, by Hall of Fame they refer to distinguished tuples; entities, whose characteristics set them apart from the majority.
- Format: PDF
- Size: 651.56 KB