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» Improving Mining Quality by Exploiting Data Dependency
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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 4 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
DLOG
2011
14 years 3 months ago
Dependencies to Optimize Ontology Based Data Access
Query answering in Ontology Based Data Access (OBDA) exploits the knowledge of an ontology’s TBox to deal with incompleteness of the ABox (or data source). Current query-answerin...
Mariano Rodriguez-Muro, Diego Calvanese
ICIAR
2010
Springer
15 years 3 months ago
A Geometric Data Structure Applicable to Image Mining and Retrieval
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
T. Iwaszko, Mahmoud Melkemi, Lhassane Idoumghar
89
Voted
CEC
2005
IEEE
15 years 5 months ago
Efficient global optimization (EGO) for multi-objective problem and data mining
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective fu...
Shinkyu Jeong, Shigeru Obayashi
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
14 years 9 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...