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» Data Quality Requirements Analysis and Modeling
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 5 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
140
Voted
CEC
2009
IEEE
15 years 11 months ago
Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling
— Reservoir modeling is an on-going activity during the production life of a reservoir. One challenge to constructing accurate reservoir models is the time required to carry out ...
Tina Yu, Dave Wilkinson
ICCVW
1999
Springer
15 years 8 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
GFKL
2006
Springer
78views Data Mining» more  GFKL 2006»
15 years 8 months ago
Putting Successor Variety Stemming to Work
Stemming algorithms find canonical forms for inflected words, e. g. for declined nouns or conjugated verbs. Since such a unification of words with respect to gender, number, time, ...
Benno Stein, Martin Potthast
161
Voted
SEAA
2008
IEEE
15 years 11 months ago
Defect Prediction using Combined Product and Project Metrics - A Case Study from the Open Source "Apache" MyFaces Project Family
The quality evaluation of open source software (OSS) products, e.g., defect estimation and prediction approaches of individual releases, gains importance with increasing OSS adopt...
Dindin Wahyudin, Alexander Schatten, Dietmar Winkl...