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» Improved Algorithms for the k Maximum-Sums Problems
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ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
15 years 5 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
ALGORITHMICA
2002
93views more  ALGORITHMICA 2002»
14 years 11 months ago
Improved Algorithms for Uniform Partitions of Points
We consider the following one- and two-dimensional bucketing problems: Given a set S of n points in R1 or R2 and a positive integer b, distribute the points of S into b equal-size ...
Pankaj K. Agarwal, Binay K. Bhattacharya, Sandeep ...
ESA
2008
Springer
134views Algorithms» more  ESA 2008»
15 years 1 months ago
A Near-Tight Bound for the Online Steiner Tree Problem in Graphs of Bounded Asymmetry
The edge asymmetry of a directed, edge-weighted graph is defined as the maximum ratio of the weight of antiparallel edges in the graph, and can be used as a measure of the heterog...
Spyros Angelopoulos
GIS
2010
ACM
14 years 10 months ago
Reverse k-Nearest Neighbor monitoring on mobile objects
In this paper we focus on the problem of continuously monitoring the set of Reverse k-Nearest Neighbors (RkNNs) of a query object in a moving object database using a client server...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...
TEC
2010
132views more  TEC 2010»
14 years 6 months ago
A Hybrid Evolutionary Approach to the Nurse Rostering Problem
Nurse rostering is a difficult search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle t...
Ruibin Bai, Edmund K. Burke, Graham Kendall, Jingp...