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JDCTA
2010
161views more  JDCTA 2010»
14 years 4 months ago
Selection of Wavelet Decomposition Level in Multi-Scale Sensor Data Fusion of MEMS Gyroscope
Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it's widely used the Wavelet-base...
Ren Ya-fei, Ke Xi-zheng
WIDM
2012
ACM
13 years 5 months ago
Replaying history on process models for conformance checking and performance analysis
Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
NN
2006
Springer
14 years 10 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
FIRSTMONDAY
2010
105views more  FIRSTMONDAY 2010»
14 years 7 months ago
A manifesto for modeling and measurement in social media
Online Social Networks (OSNs) have been the subject of a great deal of study in recent years. The majority of this study has used simple models, such as node-and-edge graphs, to d...
Graham Cormode, Balachander Krishnamurthy, Walter ...
LPNMR
2005
Springer
15 years 3 months ago
Inference of Gene Relations from Microarray Data by Abduction
We describe an application of Abductive Logic Programming (ALP) to the analysis of an important class of DNA microarray experiments. We develop an ALP theory that provides a simple...
Irene Papatheodorou, Antonis C. Kakas, Marek J. Se...