Multidimensional data visualization applied for user's questionnaire data quality assessment

Authors:
Jarosław Drapała;Dmitrij Żatuchin;Janusz Sobecki
Affiliations:
Wrocław University of Technology, Poland;Wrocław University of Technology, Poland;Wrocław University of Technology, Poland
Venue:
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Year:
2010

Citing 8
Cited 1

Local multidimensional scaling

Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Online data visualization using the neural gas network

Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)

Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Visualizing distortions and recovering topology in continuous projection techniques

Neurocomputing
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)

Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
Using the patient's questionnaire data to screen laryngeal disorders

Computers in Biology and Medicine
Nonlinear Dimensionality Reduction

Nonlinear Dimensionality Reduction
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets

IEEE Transactions on Neural Networks

Smart work workbench; integrated tool for IT services planning, management, execution and evaluation

ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

Questionnaire is a method of evaluating the quality of information system or the quality of its interface and provided services. It's main purpose is to gain knowledge about users themselves and how they work with the system. To draw valuable conclusions from the questionnaire, methods of statistical data analysis are employed. Processing of questionnaire data is important for SOA systems in particular because it helps to improve efficiency of its services utilization. In this paper multi-dimensional data visualization technique, based on the new algorithms, is applied to questionnaire questions selection.