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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 7 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
JUCS
2010
164views more  JUCS 2010»
13 years 5 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
BMCBI
2006
190views more  BMCBI 2006»
13 years 7 months ago
VANTED: A system for advanced data analysis and visualization in the context of biological networks
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...
Björn H. Junker, Christian Klukas, Falk Schre...
IJNSEC
2008
115views more  IJNSEC 2008»
13 years 7 months ago
Improving Security Through Analysis of Log Files Intersections
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...
Kazimierz Kowalski, Mohsen Beheshti
AMAI
2007
Springer
13 years 7 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...