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163
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
In this paper we propose a utility model that accounts for both sales and branding advertisers. We first study the computational complexity of optimization problems related to bo...
179
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KDD
2005
ACM
16 years 6 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
157
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CIDM
2009
IEEE
16 years 1 months ago
2009
IEEE
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...
171
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
144
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SAC
2006
ACM
16 years 9 days ago
2006
ACM
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...