Data analysis tools for sensor-based science

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 Categories and Subject Descriptors H.3.3. [Information Research and Retrieval]: Information filtering. General Terms Management, Measurement, Experimentation, Human Factors.

• Type: Conference
• Year: 2006
• Where: SENSYS
• Authors: Stuart Ozer, Jim Gray, Alexander S. Szalay, Andreas Terzis, Razvan Musaloiu-Elefteri, Katalin Szlavecz, Randal C. Burns, Joshua Cogan
• Keywords: Data Sets, Larger Data Sets, Sensor Networks, SENSYS 2006, Small Data Sets