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Highly Robust Methods in Data Mining
. The sensitivity of available data mining methods to the presence of outlying measurementsin the observed data is discussed as a major drawback of available data mining methods. The paper proposes several...
BB - Aplikovaná statistika, operační výzkum
- 2013 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
On Robust Information Extraction from High-Dimensional Data
another important aspect of data mining from high-dimensional data. This paper gives an overview of various types of data mining, discusses their suitability for high-dimensional data and critica...
IN - Informatika
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Robustness of High-Dimensional Data Mining
Standard data mining procedures are sensitive to the presence of outlying measurements in the data. This work has the aim to propose robust versions of some existing data mining procedures, i.e. m...
IN - Informatika
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
On Coupling Robust Estimation with Regularization for High-Dimensional Data
Standard data mining procedures are sensitive to the presence of outlying measurements in the data. Therefore, robust data mining procedures are highly desirable, which are resistant to outliers. ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Some Robust Estimation Tools for Multivariate Models
Standard procedures of multivariate statistics and data mining for the analysis of multivariate data are known to be vulnerable to the presence of outlying and/or highly attention has been paid to sensitivity of standard st...
BB - Aplikovaná statistika, operační výzkum
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
How to Reduce Dimensionality of Data: Robustness Point of View
and important step in the analysis of multivariate data by methods of both statistics and data mining. This paper gives an overview of robust dimensionality procedures contaminated data. Namely the highly...
BB - Aplikovaná statistika, operační výzkum
- 2015 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Some Robust Distances for Multivariate Data
Numerous methods of multivariate statistics and data mining suffer from the presence of outlying measurements in the data. This paper presents new distance measures suitable for continuous data. First, we consider ...
BB - Aplikovaná statistika, operační výzkum
- 2016 •
- D
Rok uplatnění
D - Stať ve sborníku
Robust Control in Mining
The paper describes the robust control design for standard nonlinear dynamic subsystems with uncertainties...
JB - Senzory, čidla, měření a regulace
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
Relational Subgroup Discovery for Gene Expression Data Mining
We propose a methodology for predictive classification from gene expression data, able to combine the robustness of high-dimensional statistical classification methods with the comprehensibility and interpretability of simple logic-...
JC - Počítačový hardware a software
- 2005 •
- A
Rok uplatnění
A - Audiovizuální tvorba
Robust Regularized Cluster Analysis for High-Dimensional Data
in the data. As a robust solution, we recommend to combine two newly proposed methods analysis for high-dimensional data. First, we propose a regularized version of the hierarchical cluster analysis for categorical dat...
BB - Aplikovaná statistika, operační výzkum
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
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