Data analysis tools for sensor-based science

Stuart Ozer, Jim Gray, Alex Szalay, Andreas Terzis, Razvan Musaloiu-E., Katalin Szlavecz, Randal Burns, Josh Cogan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Science is increasingly driven by data collected automatically from arrays of inexpensive sensors. The collected data volumes require a different approach from the scientists' current Excel spreadsheet storage and analysis model. Spreadsheets work well for small data sets; but scientists want high level summaries of their data for various statistical analyses without sacrificing the ability to drill down to every bit of the raw data. This demonstration describes our prototype data analysis system that is suitable for browsing and visualization - like a spreadsheet - but scalable to much larger data sets.

Original languageEnglish (US)
Title of host publicationSenSys'06
Subtitle of host publicationProceedings of the Fourth International Conference on Embedded Networked Sensor Systems
Pages341-342
Number of pages2
DOIs
StatePublished - 2006
EventSenSys'06: 4th International Conference on Embedded Networked Sensor Systems - Boulder, CO, United States
Duration: Oct 31 2006Nov 3 2006

Publication series

NameSenSys'06: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems

Conference

ConferenceSenSys'06: 4th International Conference on Embedded Networked Sensor Systems
Country/TerritoryUnited States
CityBoulder, CO
Period10/31/0611/3/06

Keywords

  • Data cubes
  • Sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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