No pane, no gain: efficient evaluation of sliding-window aggregates over data streams

By Jin Li, David Maier, Kristin Tufte, Vassilis Papadimos, Peter A. Tucker. SGMD, 2005

302 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4f17119eaa541f64f6ae9be2a0b6e30de70fe421

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kristin Tufte
2. David Maier
3. Jin Li
4. Vassilis Papadimos
5. Peter A. Tucker

In Computer Networks and Communications

1. Kristin Tufte
2. David Maier
3. Jin Li
4. Vassilis Papadimos
5. Peter A. Tucker

In Signal Processing

1. Kristin Tufte
2. David Maier
3. Jin Li
4. Vassilis Papadimos
5. Peter A. Tucker

Citations in the corpus

• Semantics and evaluation techniques for window aggregates in data streams (2005, methodology): “One optimization possible with WID we investigated is to preaggregate tuples on panes (sub-windows), and then consider those pane aggregates to get full window aggregates [9].”