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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
13 years 12 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
PRL
2010
158views more  PRL 2010»
13 years 6 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
CAISE
2006
Springer
13 years 11 months ago
Data Translation Between Taxonomies
The task of translating data from one schema into another is usually performed with the help of information stating how the elements between two schemas correspond. Translation mec...
Sergio L. S. Mergen, Carlos A. Heuser
ISI
2005
Springer
14 years 1 months ago
Filtering, Fusion and Dynamic Information Presentation: Towards a General Information Firewall
Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide de...
Gregory J. Conti, Mustaque Ahamad, Robert Norback
ICML
2004
IEEE
14 years 8 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...