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» Correlation-based Data Representation
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94
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ICSE
1997
IEEE-ACM
15 years 2 months ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson
85
Voted
KDD
1995
ACM
112views Data Mining» more  KDD 1995»
15 years 1 months ago
Learning First Order Logic Rules with a Genetic Algorithm
This paper introduces a newalgorithm called SIAO1 for learning first order logic rules withgenetic algorithms. SIAO1uses the covering principle developed in AQwhereseed examplesar...
Sébastien Augier, Gilles Venturini, Yves Ko...
190
Voted
DAGM
2011
Springer
13 years 10 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
81
Voted
VL
2008
IEEE
130views Visual Languages» more  VL 2008»
15 years 4 months ago
Visualization for information exploration and analysis
Making sense of data becomes more challenging as the data grows larger and becomes more complex. If a picture truly can be worth a thousand words, then clever visualizations of da...
John T. Stasko
87
Voted
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 4 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov