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» The Problems of Data Modeling in Software Practice
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140
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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 3 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
103
Voted
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 4 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
129
Voted
IPM
2008
139views more  IPM 2008»
15 years 3 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
127
Voted
ICDE
2010
IEEE
292views Database» more  ICDE 2010»
16 years 3 months ago
Usher: Improving Data Quality With Dynamic Forms
Data quality is a critical problem in modern databases. Data entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been li...
Kuang Chen, Harr Chen, Neil Conway, Joseph M. Hell...
125
Voted
SIGSOFT
2005
ACM
16 years 4 months ago
Facilitating software evolution research with kenyon
Software evolution research inherently has several resourceintensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tr...
Jennifer Bevan, E. James Whitehead Jr., Sunghun Ki...