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PVLDB
2010
225views more  PVLDB 2010»
14 years 6 months ago
Efficient Processing of Top-k Spatial Preference Queries
Top-k spatial preference queries return a ranked set of the k best data objects based on the scores of feature objects in their spatial neighborhood. Despite the wide range of loc...
João B. Rocha-Junior, Akrivi Vlachou, Chris...
CIKM
2008
Springer
15 years 1 months ago
Dr. Searcher and Mr. Browser: a unified hyperlink-click graph
We introduce a unified graph representation of the Web, which includes both structural and usage information. We model this graph using a simple union of the Web's hyperlink ...
Barbara Poblete, Carlos Castillo, Aristides Gionis
ICWSM
2009
14 years 9 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
15 years 5 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
VLDB
2004
ACM
161views Database» more  VLDB 2004»
16 years 1 days ago
Supporting top-k join queries in relational databases
Ranking queries produce results that are ordered on some computed score. Typically, these queries involve joins, where users are usually interested only in the top-k join results....
Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid