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» Dynamic Structures for Top- k Queries on Uncertain Data
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EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 10 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
DATESO
2009
101views Database» more  DATESO 2009»
13 years 4 months ago
Using Top Trees For Easy Programming of Tree Algorithms
Top trees are a dynamic self-adjusting data structure that can be used by any tree algorithm. Actually, an arbitrary number of different tree algorithms can use a single structure....
Michal Vajbar
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
14 years 7 months ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
SPIRE
2005
Springer
14 years 16 days ago
Rank-Sensitive Data Structures
Output-sensitive data structures result from preprocessing n items and are capable of reporting the items satisfying an on-line query in O(t(n) + ℓ) time, where t(n) is the cost ...
Iwona Bialynicka-Birula, Roberto Grossi
EDBT
2009
ACM
108views Database» more  EDBT 2009»
13 years 11 months ago
Reverse k-nearest neighbor search in dynamic and general metric databases
In this paper, we propose an original solution for the general reverse k-nearest neighbor (RkNN) search problem. Compared to the limitations of existing methods for the RkNN searc...
Elke Achtert, Hans-Peter Kriegel, Peer Kröger...