Results 11 to 20 of about 132,928 (250)
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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Micro-architectural analysis of a learned index
, 2022 Since the publication of The Case for Learned Index Structures in 2018 [26], there has been a rise in research that focuses on learned indexes for different domains and with different functionalities.
Pinar Tözün +4 more
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State of the Art Learned Index Structures [PDF]
, 2022 "Learned Indexes" har vært et populært tema innen databasesamfunnet etter at den første Learned Index ble publisert, ved å introdusere maskinlæring til å løse indekseringsproblemet som lenge har vært dominert av tradisjonelle datastrukturer som B-trær ...
Tengs, Simen Sælevik
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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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The Case for Learned Index Structures
, 2021 © 2018 Association for Computing Machinery. Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array,
Beutel, Alex +4 more
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Applied Sciences, 2022 Recently, a pragmatic approach toward achieving semantic search has made significant progress with knowledge graph embedding (KGE). Although many standards, methods, and technologies are applicable to the linked open data (LOD) cloud, there are still ...
Yuxiang Sun, Seok-Ju Chun, Yongju Lee
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Bridging the gap between algorithmic and learned index structures [PDF]
, 2022 Index structures such as B-trees and bloom filters are the well-established petrol engines of database systems. However, these structures do not fully exploit patterns in data distribution.
Hadian, Ali
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RadixSpline: a single-pass learned index
, 2021 © 2020 ACM. Recent research has shown that learned models can outperform state-of-the-art index structures in size and lookup performance. While this is a very promising result, existing learned structures are often cumbersome to implement and are slow ...
Kraska, Tim +6 more
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Using Machine Learning to Identify Hydrologic Signatures With an Encoder–Decoder Framework
Water Resources Research, 2023 Hydrologic signatures are quantitative metrics that describe a streamflow time series. Examples include annual maximum flow, baseflow index and recession shape descriptors.
Tom E. Botterill, Hilary K. McMillan
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