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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
15 years 10 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
14 years 11 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa
74
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ICML
2007
IEEE
15 years 10 months ago
Learning to compress images and videos
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of t...
Li Cheng, S. V. N. Vishwanathan
SIGSOFT
2008
ACM
15 years 10 months ago
Requirements engineering: from craft to discipline
Getting the right software requirements under the right environment assumptions is a critical precondition for developing the right software. This task is intrinsically difficult....
Axel van Lamsweerde
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
15 years 1 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders