Progressive skyline computation in database systems

By Dimitris Papadias, Yufei Tao, Greg Fu, Bernhard Seeger. TODS, 2005

997 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/28e702e1a352854cf0748b9a6a9ad6679b1d4e83

How researchers see this paper

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

In Computer Graphics and Computer-Aided Design

1. Cyrus Shahabi
2. Mehdi Sharifzadeh

In Computer Networks and Communications

1. Alexander Tuzhilin
2. Hui Xiong
3. Kian-Lee Tan
4. Hosagrahar Visvesvaraya Jagadish
5. Marco Gruteser
6. Cyrus Shahabi
7. Zhenjie Zhang
8. Mehdi Sharifzadeh

In Signal Processing

1. Hui Xiong
2. Kian-Lee Tan
3. Hosagrahar Visvesvaraya Jagadish
4. Alexander Tuzhilin
5. Michael J. Pazzani
6. Anthony K. H. Tung
7. Cyrus Shahabi
8. Yong Ge

Citations in the corpus

• The spatial skyline queries (2006, methodology): “Consequently, B(2)S(2) is also able to employ any monotone preference function to support ranked skyline queries [8].”
• An energy-efficient mobile recommender system (2010, background): “Indeed, skyline computing, which retrieves non-dominated data points, has been extensively studied in the database literature [9, 11, 13, 18].”
• Selecting skyline services for QoS-based web service composition (2010, neutral): “Several ef fici nt algorithms have been proposed for skyline computation [14] .”
• Finding k-dominant skylines in high dimensional space (2006, methodology): “[13, 14] proposed a new progressive algorithm named Branch-andBound Skyline (BBS) based on the best-first nearest neighbor (BF-NN) algorithm [7].”