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» Discovering Robust Knowledge from Databases that Change
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ICVS
2003
Springer
14 years 24 days ago
Tree Supported Road Extraction from Arial Images Using Global and Local Context Knowledge
The quality control and update of geo-data, in this case especially of road-data, is the primary aim of the system, which is presented in the paper. One important task of the syste...
Matthias Butenuth, Bernd-Michael Straub, Christian...
ICC
2008
IEEE
126views Communications» more  ICC 2008»
14 years 2 months ago
Discovering Packet Structure through Lightweight Hierarchical Clustering
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
Abdulrahman Hijazi, Hajime Inoue, Ashraf Matrawy, ...
KDD
1995
ACM
193views Data Mining» more  KDD 1995»
13 years 11 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
CORR
2011
Springer
175views Education» more  CORR 2011»
12 years 11 months ago
Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Ev
- In this work we are analyzing scalability of the heuristic algorithm we used in the past [1-4] to discover knowledge from multi-valued symbolic attributes in fuzzy databases. The...
M. Shahriar Hossain, Rafal A. Angryk
ISD
1999
Springer
213views Database» more  ISD 1999»
13 years 12 months ago
A Probabilistic Approach to Environmental Change Detection with Area-Class Map Data
One of the primary methods of studying change in the natural and man-made environment is that of comparison of multi-date maps and images of the earth's surface. Such comparis...
Christopher B. Jones, J. Mark Ware, David R. Mille...