Mining spatiotemporal co-occurrence patterns in solar datasets

作者：Aydin B^*; Kempton D; Akkineni V; Angryk R; Pillai K G

来源：Astronomy and Computing, 2015, 13: 136-144.

DOI：10.1016/j.ascom.2015.10.003

• Spatiotemporal co-occurrence
• Frequent pattern mining
• Solar data mining
• Spatiotemporal indexing

We address the problem of mining spatiotemporal co-occurrence patterns (STCOPs) in solar datasets with extended polygon-based geometric representations. Specifically designed spatiotemporal indexing techniques are used in the mining of STCOPs. These include versions of two well-known spatiotemporal trajectory indexing techniques: the scalable and efficient trajectory index and Chebyshev polynomial indexing. We present a framework, STCOP-MINER, implementing a filter-and-refine STCOP mining algorithm, with the indexing techniques mentioned for efficiently performing data analysis.

• 出版日期2015-11