Networks of sensors arise naturally in many different fields, from industrial applications (e.g., monitoring of environmental parameters in a chemical plant) to surveillance appl...
We present external-memory algorithms for differencing large hierarchical datasets. Our methods are especially suited to streaming data with bounded differences. For input sizes m...
We study a clean machine model for external memory and stream processing. We show that the number of scans of the external data induces a strict hierarchy (as long as work space is...
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
This demonstration shows an integrated query processing environment where users can seamlessly query both a data stream management system and a sensor network with one query expre...
Daniel J. Abadi, Wolfgang Lindner, Samuel Madden, ...