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The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection.

, , , , , and . Recommendation and Search in Social Networks, Springer, (2015)

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Graph-based informative-sentence selection for opinion summarization., , , , , and . ASONAM, page 408-412. ACM, (2013)Mining the Situation: Spatiotemporal Traffic Prediction With Big Data., , , , and . IEEE J. Sel. Top. Signal Process., 9 (4): 702-715 (2015)Label Propagation on K-Partite Graphs with Heterophily., , , , , and . IEEE Trans. Knowl. Data Eng., 33 (3): 1064-1077 (2021)The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection., , , , , and . Recommendation and Search in Social Networks, Springer, (2015)Context-Aware Online Spatiotemporal Traffic Prediction., , , , and . ICDM Workshops, page 43-46. IEEE Computer Society, (2014)Maximizing the number of worker's self-selected tasks in spatial crowdsourcing., , and . SIGSPATIAL/GIS, page 314-323. ACM, (2013)Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation., , , , , and . Proc. VLDB Endow., 5 (5): 406-417 (2012)Task matching and scheduling for multiple workers in spatial crowdsourcing., , and . SIGSPATIAL/GIS, page 21:1-21:10. ACM, (2015)Latent Space Model for Road Networks to Predict Time-Varying Traffic., , , , , and . KDD, page 1525-1534. ACM, (2016)Towards Fast and Accurate Solutions to Vehicle Routing in a Large-Scale and Dynamic Environment., , , , and . SSTD, volume 9239 of Lecture Notes in Computer Science, page 119-136. Springer, (2015)