@inproceedings{5299a3bc92e242a4ab31ca8b55505ac2,
title = "Data analysis tools for sensor-based science",
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.",
keywords = "Data cubes, Sensor networks",
author = "Stuart Ozer and Jim Gray and Alex Szalay and Andreas Terzis and Razvan Musaloiu-E. and Katalin Szlavecz and Randal Burns and Josh Cogan",
year = "2006",
doi = "10.1145/1182807.1182844",
language = "English (US)",
isbn = "1595933433",
series = "SenSys'06: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems",
pages = "341--342",
booktitle = "SenSys'06",
note = "SenSys'06: 4th International Conference on Embedded Networked Sensor Systems ; Conference date: 31-10-2006 Through 03-11-2006",
}