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.

REFERENCES

• 1: Jim Gray , Adam Bosworth , Andrew Layman , Hamid Pirahesh, Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total, Proceedings of the Twelfth International Conference on Data Engineering, p.152-159, February 26-March 01, 1996
• 2: http://lifeunderyourfeet.org
• 3: R. Musaloiu-E., A. Terzis , K. Szlavecz , A. Szalay, J. Cogan, J. Gray, "Life Under your Feet: A Wireless Soil Ecology Sensor Network." Proc. 3rd Workshop on Embedded Networked Sensors (EmNets 2006). May 2006, Cambridge MA.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

General Terms:
Experimentation, Human Factors, Management, Measurement

Keywords:
data cubes, sensor networks