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DASFAA
2009
IEEE
93views Database» more  DASFAA 2009»
15 years 4 months ago
Top-K Correlation Sub-graph Search in Graph Databases
Recently, due to its wide applications, (similar) subgraph search has attracted a lot of attentions from database and data mining community, such as [13, 18, 19, 5]. In [8], Ke et ...
Lei Zou, Lei Chen 0002, Yansheng Lu
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 4 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
DEXA
2007
Springer
173views Database» more  DEXA 2007»
15 years 3 months ago
A P2P Technique for Continuous k-Nearest-Neighbor Query in Road Networks
Due to the high frequency in location updates and the expensive cost of continuous query processing, server computation capacity and wireless communication bandwidth are the two li...
Fuyu Liu, Kien A. Hua, Tai T. Do
SSD
2007
Springer
132views Database» more  SSD 2007»
15 years 3 months ago
Computing a k -Route over Uncertain Geographical Data
An uncertain geo-spatial dataset is a collection of geo-spatial objects that do not represent accurately real-world entities. Each object has a confidence value indicating how lik...
Eliyahu Safra, Yaron Kanza, Nir Dolev, Yehoshua Sa...
VLDB
2007
ACM
229views Database» more  VLDB 2007»
15 years 3 months ago
Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs
In many applications, the underlying data (the web, an XML document, or a relational database) can be seen as a graph. These graphs may be enriched with weights, associated with t...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...