Data analysis tools for sensor-based science

Autor: Alexander S. Szalay, Stuart Ozer, Josh Cogan, Jim Gray, Katalin Szlavecz, Andreas Terzis, Răzvan Musăloiu-E., Randal Burns
Rok vydání: 2006
Předmět:
Zdroj: SenSys
DOI: 10.1145/1182807.1182844
Popis: 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.
Databáze: OpenAIRE