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PKDD
2005
Springer
92views Data Mining» more  PKDD 2005»
13 years 10 months ago
Mining Model Trees from Spatial Data
Mining regression models from spatial data is a fundamental task in Spatial Data Mining. We propose a method, namely Mrs-SMOTI, that takes advantage from a tight-integration with s...
Donato Malerba, Michelangelo Ceci, Annalisa Appice
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
13 years 10 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
PKDD
2005
Springer
131views Data Mining» more  PKDD 2005»
13 years 10 months ago
ISOLLE: Locally Linear Embedding with Geodesic Distance
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
PKDD
2005
Springer
97views Data Mining» more  PKDD 2005»
13 years 10 months ago
Frequency-Based Separation of Climate Signals
Abstract. The paper presents an example of exploratory data analysis of climate measurements using a recently developed denoising source separation (DSS) framework. We analysed a c...
Alexander Ilin, Harri Valpola
PKDD
2005
Springer
142views Data Mining» more  PKDD 2005»
13 years 10 months ago
Speeding Up Logistic Model Tree Induction
Logistic Model Trees have been shown to be very accurate and compact classifiers [8]. Their greatest disadvantage is the computational complexity of inducing the logistic regressi...
Marc Sumner, Eibe Frank, Mark A. Hall