Convenient Top-k Location-Text Publish/Subscribe Scheme
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-1651-7_16
Reference18 articles.
1. Li, G., Wang, Y., Wang, T., et al.: Location-aware publish/subscribe. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 802–810 (2013)
2. Chen, L., Cong, G., Cao, X.: An efficient query indexing mechanism for filtering geo-textual data. In: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp. 749–760 (2013)
3. Kim, C., Ahn, J.: Gossip-based causal order delivery protocol respecting deadline constraints in publish/subscribe systems. Int. J. Multimed. Ubiquitous Eng. 8(6), 245–256 (2013)
4. Wang, X., Zhang, Y., Zhang, W., et al.: AP-Tree: efficiently support continuous spatial-keyword queries over stream. In: 2015 IEEE 31st International Conference on Data Engineering, pp. 1107–1118 (2015)
5. Hu, H., Liu, Y., Li, G., et al.: A location-aware publish/subscribe framework for parameterized spatio-textual subscriptions. In: 2015 IEEE 31st International Conference on Data Engineering, pp. 711–722 (2015)
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