| Publisher | University of Maryland | ||
|---|---|---|---|
| Format | 156.2KB PDF | Date added | 12 May 2006 |
| Topics | Data Mining - Analysis, Mobile - Wireless Communications | ||
| Downloads | 65 | ||
Energy consumption is an important issue in the growing number of data mining and machine learning applications for battery-powered embedded and mobile devices. It plays a critical role in determining the capabilities of a broad range of applications such as space probes with onboard scientific missions, PDA-based monitoring of remote data streams, event detection in sensor networks comprised of battery-powered data sensors and light-weight data processing nodes. This paper presents an experimental investigation of the energy consumption characteristics of different data analysis techniques.
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