A Method for Generating Multi-Dimensional Data Attributes by Utilizing a Personal Evaluation

Autor:	Kimiya Fujisawa, Takashi Ohta, Naoki Wakabayashi, Rina Takahashi
Rok vydání:	2007
Předmět:	Degree (graph theory) Human–computer interaction Computer science Relevance (information retrieval) Data mining Visual interface computer.software_genre computer Multi dimensional data
Zdroj:	Journal of the Visualization Society of Japan. 27:69-70
ISSN:	1884-037X 0916-4731
DOI:	10.3154/jvs.27.supplement1_69
Popis:	We propose an approach for categorizing data by assessing the degree of relevance among them manually. We employ a visual interface that allows moving the data around in the display screen, with which a person can arrange the positions of data so that the distance between them indicates the relevance as how one perceives it. As this interaction iterating, categories emerge where the data concentrate geometrically. In this paper, we report the evaluation of the approach by prototyping a system.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::824ed7267791d8a57854ecde97fbdcbf https://doi.org/10.3154/jvs.27.supplement1_69 Zobrazit plný text záznamu