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» Estimating the Robustness of Discovered Knowledge
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KDD
1995
ACM
85views Data Mining» more  KDD 1995»
13 years 8 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
AAAI
1996
13 years 6 months ago
Discovering Robust Knowledge from Dynamic Closed World Data
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
Chun-Nan Hsu, Craig A. Knoblock
DATAMINE
1998
106views more  DATAMINE 1998»
13 years 4 months ago
Discovering Robust Knowledge from Databases that Change
Many applications of knowledge discovery and data mining such as rule discovery for semantic query optimization, database integration and decision support, require the knowledge t...
Chun-Nan Hsu, Craig A. Knoblock
PERVASIVE
2006
Springer
13 years 4 months ago
Risks of Using AP Locations Discovered Through War Driving
Many pervasive-computing applications depend on knowledge of user location. Because most current location-sensing techniques work only either indoors or outdoors, researchers have ...
Minkyong Kim, Jeffrey J. Fielding, David Kotz
ILP
1998
Springer
13 years 9 months ago
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure
Abstract. Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of in...
Marcel Turcotte, Stephen Muggleton, Michael J. E. ...