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KDD
1995
ACM
95views Data Mining» more  KDD 1995»
14 years 7 days ago
On Subjective Measures of Interestingness in Knowledge Discovery
One of the central problems in the field of knowledge discovery is the development of good measures of interestingness of discovered patterns. Such measures of interestingness are...
Abraham Silberschatz, Alexander Tuzhilin
DICTA
2009
13 years 9 months ago
Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
Abstract--The relationship between multiple cameras viewing the same scene may be discovered automatically by finding corresponding points in the two views and then solving for the...
Ruan Lakemond, Clinton Fookes, Sridha Sridharan
ASWC
2009
Springer
13 years 6 months ago
LODE: Linking Open Descriptions of Events
People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individua...
Ryan Shaw, Raphaël Troncy, Lynda Hardman
ASC
2011
13 years 3 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
KR
2004
Springer
14 years 2 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler