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Fine-Grained Geolocalisation of Non-Geotagged Tweets., and . ASONAM, page 105-112. ACM, (2015)Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data., , , , and . IEEE BigData, page 411-420. IEEE Computer Society, (2015)ParIS: The Next Destination for Fast Data Series Indexing and Query Answering., , and . IEEE BigData, page 791-800. IEEE, (2018)JedAI3 : beyond batch, blocking-based Entity Resolution., , , , , , , , , and . EDBT, page 603-606. OpenProceedings.org, (2020)Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets., and . Soc. Netw. Anal. Min., 6 (1): 89:1-89:16 (2016)SEAnet: A Deep Learning Architecture for Data Series Similarity Search., and . IEEE Trans. Knowl. Data Eng., 35 (12): 12972-12986 (December 2023)Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection., , , , , and . Proc. VLDB Endow., 15 (11): 2774-2787 (2022)Knowledge Mining for the Business Analyst., and . DEXA, volume 5181 of Lecture Notes in Computer Science, page 770-778. Springer, (2008)Online Distribution Estimation for Streaming Data: Framework and Applications., , and . SEBD, page 430-438. (2007)Deep Learning Embeddings for Data Series Similarity Search., and . KDD, page 1708-1716. ACM, (2021)