Interestingness Measure

An Interestingness Measure is a Measure that an Agent can assigns to an Item to indicate its Value.

AKA: Interestingness.
Context:
- It can be associated with an Interesting Item.
Example(s):
- How much time a person dedicates to get the item.
- an Item Rank.
- …
Counter-Example(s):
- a Similarity Measure.
See: Relevance Measure.

References

(Geng & Hamilton, 2006) ⇒ Liqiang Geng, and Howard J. Hamilton. (2006). “Interestingness Measures for Data Mining: A survey.” In: ACM Computing Surveys, 38(3). doi:10.1145/1132960.1132963
- ABSTRACT: Interestingness measures play an important role in data mining, regardless of the kind of patterns being mined. These measures are intended for selecting and ranking patterns according to their potential interest to the user. Good measures also allow the time and space costs of the mining process to be reduced. This survey reviews the interestingness measures for rules and summaries, classifies them from several perspectives, compares their properties, identifies their roles in the data mining process, gives strategies for selecting appropriate measures for applications, and identifies opportunities for future research in this area.