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A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction., , and . Expert Syst. Appl., (2022)Moving spatial keyword queries: Formulation, methods, and analysis., , and . ACM Trans. Database Syst., 38 (1): 7 (2013)A New Approach for Approximately Mining Frequent Itemsets., , , and . DAMDID/RCDL, volume 2523 of CEUR Workshop Proceedings, page 46-58. CEUR-WS.org, (2019)Mining Frequent Geo-Subgraphs in a Knowledge Graph., , , , and . APWeb-WAIM (1), volume 14331 of Lecture Notes in Computer Science, page 16-31. Springer, (2023)A scalable and flexible basket analysis system for big transaction data in Spark., , , , , and . Inf. Process. Manag., 61 (2): 103577 (March 2024)CDFRS: A scalable sampling approach for efficient big data analysis., , , , , and . Inf. Process. Manag., 61 (4): 103746 (2024)AI Creativity and the Human-AI Co-creation Model., , , , , and . HCI (1), volume 12762 of Lecture Notes in Computer Science, page 171-190. Springer, (2021)Spatial-aware interest group queries in location-based social networks., , , , and . CIKM, page 2643-2646. ACM, (2012)CIRF: Constructive interference-based reliable flooding in asynchronous duty-cycle wireless sensor networks., , , , , and . WCNC, page 2734-2738. IEEE, (2014)Efficient continuously moving top-k spatial keyword query processing., , , and . ICDE, page 541-552. IEEE Computer Society, (2011)