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114
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IDA
2000
Springer
15 years 2 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
OOPSLA
2005
Springer
15 years 8 months ago
GOOAL: an educational object oriented analysis laboratory
Our goal is to enable rapid production of static and dynamic object models from natural language description of problems. Rapid modeling is achieved through automation of analysis...
Hector G. Pérez-González, Jugal K. K...
MICCAI
2008
Springer
16 years 3 months ago
Segmenting Brain Tumors Using Pseudo-Conditional Random Fields
Locating Brain tumor segmentation within MR (magnetic resonance) images is integral to the treatment of brain cancer. This segmentation task requires classifying each voxel as eith...
Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matt...
221
Voted
VLDB
2008
ACM
196views Database» more  VLDB 2008»
16 years 2 months ago
Modelling retrieval models in a probabilistic relational algebra with a new operator: the relational Bayes
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...
Thomas Rölleke, Hengzhi Wu, Jun Wang, Hany Azzam
114
Voted
KDD
1995
ACM
130views Data Mining» more  KDD 1995»
15 years 6 months ago
Compression-Based Evaluation of Partial Determinations
Our work tackles the problem of finding partial determinations in databases and proposes a compressionbased measure to evaluate them. Partial determinations can be viewed as gener...
Bernhard Pfahringer, Stefan Kramer