Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics
Author:
Affiliation:
1. Georgia State University, Atlanta, GA
Funder
National Science Foundation
National Aeronautics and Space Administration
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2820783.2820871
Reference12 articles.
1. Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns
2. Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results
3. Interestingness measures for data mining
4. Modeling and Management of Signal Transduction Pathways with Live Sequence Charts
5. Discovering colocation patterns from spatial data sets: a general approach
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