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Discovering interesting sub-paths in spatiotemporal datasets: a summary of results.

, , , , and . GIS, page 44-53. ACM, (2011)

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Cascading Spatio-Temporal Pattern Discovery., , , and . IEEE Trans. Knowl. Data Eng., 24 (11): 1977-1992 (2012)Identifying patterns in spatial information: A survey of methods., , , and . WIREs Data Mining Knowl. Discov., 1 (3): 193-214 (2011)Learning spatial decision tree for geographical classification: a summary of results., , , , and . SIGSPATIAL/GIS, page 390-393. ACM, (2012)Cascading Spatio-temporal Pattern Discovery: A Summary of Results., , , and . SDM, page 327-338. SIAM, (2010)Discovering interesting sub-paths in spatiotemporal datasets: a summary of results., , , , and . GIS, page 44-53. ACM, (2011)Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach., , and . GIScience, volume 7478 of Lecture Notes in Computer Science, page 132-145. Springer, (2012)Should SDBMS support a join index?: a case study from CrimeStat., , , , , and . GIS, page 37. ACM, (2008)A neighborhood graph based approach to regional co-location pattern discovery: a summary of results., , , , , and . GIS, page 122-132. ACM, (2011)Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images., , , , , and . J. Medical Syst., 43 (9): 294:1-294:10 (2019)Rapid jamming detection approach based on fuzzy in WSN., , , , and . Int. J. Commun. Syst., (2022)