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» Generalization Algorithms for Second-Order Terms
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SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
16 years 4 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
IUI
2009
ACM
16 years 3 months ago
Learning to recognize valuable tags
Many websites use tags as a mechanism for improving item metadata through collective user effort. Users of tagging systems often apply far more tags to an item than a system can ...
Shilad Sen, Jesse Vig, John Riedl
ISCA
2009
IEEE
186views Hardware» more  ISCA 2009»
16 years 1 months ago
Application-aware deadlock-free oblivious routing
Conventional oblivious routing algorithms are either not application-aware or assume that each flow has its own private channel to ensure deadlock avoidance. We present a framewo...
Michel A. Kinsy, Myong Hyon Cho, Tina Wen, G. Edwa...
CIKM
2009
Springer
16 years 1 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula