A survey of interestingness measures for knowledge discovery

@article{McGarry2005ASO,
  title={A survey of interestingness measures for knowledge discovery},
  author={K. McGarry},
  journal={The Knowledge Engineering Review},
  year={2005},
  volume={20},
  pages={39 - 61}
}
  • K. McGarry
  • Published 2005
  • Computer Science
  • The Knowledge Engineering Review
It is a well-known fact that the data mining process can generate many hundreds and often thousands of patterns from data. [...] Key Method These so-called interestingness measures are generally divided into two categories: objective measures based on the statistical strengths or properties of the discovered patterns and subjective measures that are derived from the user's beliefs or expectations of their particular problem domain. We evaluate the strengths and weaknesses of the various interestingness measures…Expand
335 Citations
A Survey of Interestingness Measures for Association Rules
  • Y. Zhang, L. Zhang, G. Nie, Y. Shi
  • Computer Science, Mathematics
  • 2009 International Conference on Business Intelligence and Financial Engineering
  • 2009
  • 22
Probabilistic Measures for Interestingness of Deviations - A Survey
  • 5
  • PDF
Knowledge discovery interestingness measures based on unexpectedness
  • 30
Ascertaining Data Mining Rules Using Statistical Approaches
  • 4
  • PDF
Are we really discovering ''interesting'' knowledge from data?
  • 34
  • PDF
Behavior-based clustering and analysis of interestingness measures for association rule mining
  • 63
  • Highly Influenced
  • PDF
Association Rule Interestingness Measures: Experimental and Theoretical Studies
  • 75
  • PDF
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 150 REFERENCES
What Makes Patterns Interesting in Knowledge Discovery Systems
  • 785
  • Highly Influential
  • PDF
Defining interestingness for association rules
  • 64
  • PDF
Measuring the interestingness of discovered knowledge: A principled approach
  • 43
Selecting the right interestingness measure for association patterns
  • 981
  • PDF
Unexpectedness as a Measure of Interestingness in Knowledge Discovery
  • 219
  • PDF
On Subjective Measures of Interestingness in Knowledge Discovery
  • 444
  • Highly Influential
  • PDF
Finding Interesting Patterns Using User Expectations
  • 196
  • Highly Influential
Exception Rule Mining with a Relative Interestingness Measure
  • 144
Interestingness via what is not interesting
  • 129
A Metric for Selection of the Most Promising Rules
  • 81
  • PDF
...
1
2
3
4
5
...