Efficient Distributed Skylining for Web Information Systems

By Wolf-Tilo Balke, Ulrich Güntzer, Jason Xin Zheng. International Conference on Extending Database Technology, 2004

339 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Geography, Planning and Development, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4e10d2ac250eae426b8dd8db10ac9dfa59dddf02

How researchers see this paper

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

In Computer Networks and Communications

1. Xuemin Lin
2. Yidong Yuan
3. Qing Zhang
4. Ryan Shipley
5. Parke Godfrey
6. Jeffrey Xu Yu
7. Jian Pei
8. Jarek Gryz

In Geography, Planning and Development

1. Ryan Shipley
2. Parke Godfrey
3. Qing Zhang
4. Jarek Gryz
5. Xuemin Lin
6. Yidong Yuan

In Signal Processing

1. Xuemin Lin
2. Yidong Yuan
3. Qing Zhang
4. Ryan Shipley
5. Parke Godfrey
6. Jeffrey Xu Yu
7. Jian Pei
8. Jarek Gryz

Citations in the corpus

• Probabilistic Skylines on Uncertain Data (2007, background): “For the synthetic data sets, the domain of each dimension is [0, 1 ]. The dimensionality d by default is 4. The cardinality (i.e., number of uncertain objects) m by default is 10, 000.”
• Selecting Stars: The k Most Representative Skyline Operator (2007, neutral): “, p[d]) dominatesanother pointq = (q[1], q[2], .”
• Efficient Computation of the Skyline Cube (2005, methodology): “[3] shows how to make efficient computation through the distributed database system and an approximate computation algorithm is presented in [13].”
• Maximal Vector Computation in Large Data Sets (2005, methodology): “In [1], an algorithm is presented as instance-optimal when the input data is available”