MERLIN - A Tool for Multi-party Privacy-preserving Record Linkage
Date
2015
Authors
Ranbaduge, Thilina
Vatsalan, Dinusha
Christen, Peter
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IEEE Computer Society
Abstract
In this paper, we present the current work and future directions on spatiotemporal frequent pattern mining algorithms for mining solar data. The current spatiotemporal pattern mining algorithms focus on spatiotemporal co-occurrence patterns. We reveal four types of spatiotemporal concepts that can be mined from solar data: event sequences, periodicity, spatiotemporal convergence and propagation. Throughout the paper, we exhibit examples of these concepts in the solar physics domain, and present related algorithms and the challenges of mining these concepts from solar data
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Efficient Entity Resolution with Adaptive and Interactive Training Data Selection
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Conference paper
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2037-12-31
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