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SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
14 years 9 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
IDEAL
2009
Springer
15 years 4 months ago
Improving Energy Efficiency in Buildings Using Machine Intelligence
Improving the detection of thermal insulation in buildings –which includes the development of models for heating and ventilation processes and fabric gain - could significantly i...
Javier Sedano, José Ramón Villar, Le...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 1 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 2 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 2 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...