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» Finding Minimum Data Requirements Using Pseudo-independence
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GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 3 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
VLDB
1998
ACM
192views Database» more  VLDB 1998»
14 years 1 months ago
Algorithms for Mining Distance-Based Outliers in Large Datasets
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
Edwin M. Knorr, Raymond T. Ng
TVCG
2008
133views more  TVCG 2008»
13 years 8 months ago
Texture-based Transfer Functions for Direct Volume Rendering
Visualization of volumetric data faces the difficult task of finding effective parameters for the transfer functions. Those parameters can determine the effectiveness and accuracy ...
Jesus Caban, Penny Rheingans
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 9 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea