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DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
15 years 10 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
16 years 7 months ago
Progressive Distributed Top k Retrieval in Peer-to-Peer Networks
Query processing in traditional information management systems has moved from an exact match model to more flexible paradigms allowing cooperative retrieval by aggregating the dat...
Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, Uw...
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
16 years 3 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
DEXA
2009
Springer
175views Database» more  DEXA 2009»
16 years 22 days ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
SPIRE
2009
Springer
16 years 20 days ago
k2-Trees for Compact Web Graph Representation
The directed graph representation of the World Wide Web has been extensively used to analyze the Web structure, behavior and evolution. However, those graphs are huge and do not ï...
Nieves R. Brisaboa, Susana Ladra, Gonzalo Navarro