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Skip to Search Results- 3Associative Classification
- 1Expected Support
- 1Explainable AI
- 1Machine Learning
- 1Model Independent Explanation
- 1Sequential Patterns
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Fall 2011
Several research projects explore the application of uncertain databases which contain probabilistic attributes. Uncertainty in data can be caused by inherent randomness, imprecision in measuring equipment, ambiguity, information extraction from unstructured data, etc. The classification and...
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Statistically Significant Dependencies for Spatial Co-location Pattern Mining and Classification Association Rule Discovery
DownloadFall 2014
Spatial co-location pattern mining and classification association rule discovery are two canonical tasks studied in the data mining community. Both of them focus on the detection of sets of features that show associations. The difference is that in spatial co-location pattern mining, the features...
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Fall 2023
Giving reasons for justifying the decisions made by classification models has received less attention in recent artificial intelligence breakthroughs than improving the accuracy of the models. Recently, AI researchers are paying more attention to filling this gap, leading to the introduction of...