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Efficient Management of High-Frequency Sensor Data Streams Using a Read-Optimized Learned Index [PDF]
SensorsThe rapid growth of sensor data in IoT and Digital Twins necessitates high-performance spatial indexing. Traditional indexes like Rtrees suffer from high storage overhead, while state-of-the-art learned indexes like GLIN encounter a “Refinement ...
Hu Luo +7 more
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SLBRIN: A Spatial Learned Index Based on BRIN
ISPRS International Journal of Geo-Information, 2023 The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices.
Lijun Wang +6 more
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TALI: An Update-Distribution-Aware Learned Index for Social Media Data
Mathematics, 2022 In the growing mass of social media data, how to efficiently extract the collection of interested concerns has become a research hotspot. Due to the large size and regularity of social media data, traditional indexing techniques are not applicable.
Na Guo +4 more
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Learned-Index-Based Semantic Keyword Query on Blockchain
Mathematics, 2023 Blockchain has become increasingly popular for data management in recent years. However, the existing blockchain systems lack efficient semantic queries, particularly keyword queries.
Zhongming Yao +4 more
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Beyond the Pool: Learning to Swim, Socioeconomic Status, and Mental Health Among Adolescents [PDF]
Orthopaedic Journal of Sports MedicineBackground: Swim training programs promote positive mental health such as improved mood and self- efficacy. Sociodemographic factors can support or hinder accessibility to swimming facilities and aquatic education programs.
Sarah Petersen BA +5 more
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Auditory Perception and Psychosocial Well-Being in Long-Term Cochlear Implant Users [PDF]
Audiology ResearchBackground/Objectives: This study investigated auditory perception and psychosocial well-being in long-term cochlear implant (CI) users, with a particular focus on the effects of auditory (re)habilitation on learned helplessness and speech-in-noise ...
Kadriye Guney +3 more
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Jisuanji kexue, 2023 Due to the explosive growth of data in the era of big data,it is difficult for the traditional index structures to handle this huge and complex data.In order to solve this problem,the learned index has emerged and become one of the most popular research ...
WANG Yitan, WANG Yishu, YUAN Ye
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A learning-based approach for efficient visualization construction
Visual Informatics, 2022 We propose an approach to underpin interactive visual exploration of large data volumes by training Learned Visualization Index (LVI). Knowing in advance the data, the aggregation functions that are used for visualization, the visual encoding, and ...
Yongjian Sun +5 more
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Learned Sorted Table Search and Static Indexes in Small-Space Data Models
Data, 2023 Machine-learning techniques, properly combined with data structures, have resulted in Learned Static Indexes, innovative and powerful tools that speed up Binary Searches with the use of additional space with respect to the table being searched into. Such
Domenico Amato +2 more
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QML: a hybrid spatial index structure
Tongxin xuebao, 2021 In order to enrich the functionalities of existing learned multidimensional indexes and improve the efficiency， the dynamic data segmentation algorithm DDSA was proposed， which could preserve the data distribution characteristics.A hybrid spatial index ...
Dong CUI +3 more
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