Jun 20, 2015 · To show the performance of episode mining within the Lifelines2 framework, we conducted several experiments on real world data under various ...
This paper presents a new objective visual quality metric based on the measurement of error spread and isotropic local contrast of the image. It is shown that ...
The granularity selection of features applies a greedy bottom up search that also incorporates support and run time constraints. A significant run time ...
In this paper, we present a method for interactive pattern mining and analysis that supports ad hoc visual exploration of patterns mined from retrospective ...
TL;DR: An extension to LifeLines2 is introduced that is able to mine and visualize sequential data and a feature granularity selection method to handle ...
Visualized Episode Mining with Feature Granularity Selection. ICDM 2015: 201-215; 2014. [j4]. view. electronic edition via DOI · unpaywalled version ...
Feb 21, 2019 · In recent years, cost-sensitive feature selection has drawn much attention. However, some issues still remain to be investigated.
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Visualized Episode Mining with Feature Granularity Selection. Chapter 15. Ansorge, Sonja;Schmidt, Jana. Lecture Notes in Computer ...
Experimental results on sixteen UCI datasets show that a good trade-off among feature dimension reduction, data granularity selection and total cost ...
https://dblp.org/rec/conf/incdm/AnsorgeS15. Sonja Ansorge, Jana Schmidt: Visualized Episode Mining with Feature Granularity Selection. ICDM 2015: 201-215 ...