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On Managing Very Large Sensor-Network Data Using Bigtable
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Model-Driven Data Acquisition in Sensor Networks
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Model-Driven Data Acquisition in Sensor Networks1
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Processing partially specified queries over high-dimensional databases
inferredcites →https://doi.org/10.1016/j.datak.2010.02.006openalex-snapshot
Event-based lossy compression for effective and efficient OLAP over data streams
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An integrated framework for managing sensor data uncertainty using cloud computing
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Ontologies: principles, methods and applications
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Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
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Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS
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Providing database as a service
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Data Management in the Worldwide Sensor Web
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PRESTO: Feedback-Driven Data Management in Sensor Networks
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TinyDB: an acquisitional query processing system for sensor networks
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Multiresolution storage and search in sensor networks
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A spatiotemporal uncertainty model of degree 1.5 for continuously changing data objects
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The cougar approach to in-network query processing in sensor networks
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Intelligent Techniques for Warehousing and Mining Sensor Network Data
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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