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» Approximation Algorithms for k-hurdle Problems
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ISMIS
2005
Springer
15 years 7 months ago
Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
Manos Papagelis, Ioannis Rousidis, Dimitris Plexou...
PODS
2003
ACM
132views Database» more  PODS 2003»
16 years 2 months ago
The view selection problem for XML content based routing
We consider the view selection problem for XML content based routing: given a network, in which a stream of XML documents is routed and the routing decisions are taken based on re...
Ashish Kumar Gupta, Dan Suciu, Alon Y. Halevy
ICALP
2005
Springer
15 years 7 months ago
The Generalized Deadlock Resolution Problem
In this paper we initiate the study of the AND-OR directed feedback vertex set problem from the viewpoint of approximation algorithms. This AND-OR feedback vertex set problem is m...
Kamal Jain, Mohammad Taghi Hajiaghayi, Kunal Talwa...
ECCC
2000
93views more  ECCC 2000»
15 years 1 months ago
Improved Approximation of MAX-CUT on Graphs of Bounded Degree
We analyze the addition of a simple local improvement step to various known randomized approximation algorithms. Let ' 0:87856 denote the best approximation ratio currently k...
Uriel Feige, Marek Karpinski, Michael Langberg
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...