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ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
15 years 8 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 2 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
135
Voted
DMIN
2006
157views Data Mining» more  DMIN 2006»
15 years 3 months ago
Data Mining of Air Traffic Control Operational Errors
In this paper we present the results of applying data mining techniques to identify patterns and anomalies in air traffic control operational errors (OEs). Reducing the OE rate is ...
Zohreh Nazeri
CIKM
2010
Springer
15 years 1 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An