2013Unpublished venueRequires access

Parallel Coordinates Technique in Visual Data Mining: Advantages, Disadvantages and Combinations

Alfredo Cuzzocrea, Davood Zall

Open publisher page 9 citations

Abstract

The aim of this paper is to analyze the Parallel Coordinates technique, to study its cons and pros along with the emerging limitations, also to examine its combination with other techniques in order to provide novel evolutionary synthetic methods. The applied methodologies are in the form of literature surveying as well as making use of the technical expertise of the professionals in this field. The outcomes of this research are categorized and listed consequently which can serve as a guideline for the prospective users, thus facilitating appropriate application of the method.

About this research paper

What this paper is about

The aim of this paper is to analyze the Parallel Coordinates technique, to study its cons and pros along with the emerging limitations, also to examine its combination with other techniques in order to provide novel evolutionary synthetic methods. The applied methodologies are in the form of literature surveying as well as making use of the technical expertise of the professionals in this field. The outcomes of this research are categorized and listed consequently which can serve as a guideline for the prospective users, thus facilitating appropriate application of the method.

Why it matters

OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Available abstract

The aim of this paper is to analyze the Parallel Coordinates technique, to study its cons and pros along with the emerging limitations, also to examine its combination with other techniques in order to provide novel evolutionary synthetic methods. The applied methodologies are in the form of literature surveying as well as making use of the technical expertise of the professionals in this field. The outcomes of this research are categorized and listed consequently which can serve as a guideline for the prospective users, thus facilitating appropriate application of the method.

Key concepts: Computer science, Field (mathematics), Parallel coordinates, Data science, Guideline, Data mining, Visualization, Data visualization

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