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Enhancing In-Memory Spatial Indexing with Learned Search
Varun Pandey
, Alexander Van Renen
, Eleni Tzirita Zacharatou
, Andreas Kipf
, Ibrahim Sabek
, Jialin Ding
, Volker Markl
, Alfons Kemper
Data-intensive Systems and Applications
Technical University of Berlin
Amazon Web Services
University of Southern California
Technical University of Munich
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:
Working paper
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Keyphrases
Spatial Data
100%
In-memory
100%
Spatial Indexing
100%
Partitioning Method
66%
Search Methods
33%
Machine Learning
33%
Exponential Growth
33%
Twitter
33%
Social Media Platforms
33%
Facebook
33%
Instagram
33%
Optimal Performance
33%
Cell Phone
33%
Plethora
33%
Index Structure
33%
Tree Structure
33%
One Dimension
33%
Build System
33%
Support Point
33%
Spatial Join
33%
Strava
33%
Spatial Partitioning
33%
Haversine Distance
33%
Distance Join
33%
Polygon Tests
33%
Tree Index
33%
Cell-based Sensor
33%
Additional Key Words
33%
Spatial Data Processing
33%
Compute-intensive
33%
Spatial Query
33%
Join Query
33%
Geospatial
33%
High Selectivity
33%
Range Join
33%
Distance Computation
33%
Binary Search
33%
Computer Science
Partitioning Technique
100%
Massive Amount
50%
Exponential Growth
50%
Optimal Performance
50%
Facebook
50%
Social Medium Platform
50%
Instagram
50%
Cell Phone
50%
Index Structure
50%
Data Indexing
50%
Search Technique
50%
Haversine Distance
50%
Systems and Application
50%
Intensive Operation
50%
Machine Learning
50%
Learning System
50%
Data Processing
50%
Global Positioning System
50%