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Location-Specific Influence Quantification in Location-Based Social Networks.

, , and . ACM Trans. Intell. Syst. Technol., 10 (3): 23:1-23:28 (2019)

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Generating Text Summaries of Graph Snippets., and . COMAD, page 121-124. Computer Society of India, (2013)RQ-RDF-3X: Going beyond triplestores., and . ICDE Workshops, page 263-268. IEEE Computer Society, (2014)STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters., , , and . CoRR, (2017)LoCaTe: Influence Quantification for Location Promotion in Location-based Social Networks., , and . IJCAI, page 2259-2265. ijcai.org, (2017)DataVizard: Recommending Visual Presentations for Structured Data., , and . WebDB, page 3:1-3:6. ACM, (2018)Sampling and Reconstruction Using Bloom Filters., , , and . IEEE Trans. Knowl. Data Eng., 30 (7): 1324-1337 (2018)Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores., , , and . CIKM, page 831-840. ACM, (2016)Location-Specific Influence Quantification in Location-Based Social Networks., , and . ACM Trans. Intell. Syst. Technol., 10 (3): 23:1-23:28 (2019)VizAI : Selecting Accurate Visualizations of Numerical Data., , , , and . COMAD/CODS, page 28-36. ACM, (2022)Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance., , , , and . CIKM, page 1835-1838. ACM, (2018)