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» Using minimum description length for process mining
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ICPR
2000
IEEE
14 years 1 months ago
Unsupervised Segmentation of Poisson Data
This paper describes a new approach to the analysis of Poisson point processes, in time (1D) or space (2D), which is based on the minimum description length (MDL) framework. Speci...
Robert D. Nowak, Mário A. T. Figueiredo
AI
1998
Springer
13 years 8 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
ICASSP
2009
IEEE
14 years 3 months ago
Rate distribution between model and signal for multiple descriptions
We consider the rate allocation problem for multiple-description quantization of the signal described by an adaptive model with a fixed structure. The source modeling in coding g...
Janusz Klejsa, W. Bastiaan Kleijn
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
14 years 3 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
DMIN
2007
110views Data Mining» more  DMIN 2007»
13 years 10 months ago
Mining for Structural Anomalies in Graph-based Data
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
William Eberle, Lawrence B. Holder