Data Mining in Education: Children Living or Working on the Street with Lost Data Problem

Autor/inn/en	Sekerci, Reyhan; Karatas, Süleyman; Güven, Beyhan; Demir, Levent; Güven, Alper
Titel	Data Mining in Education: Children Living or Working on the Street with Lost Data Problem
Quelle	In: International Journal of Educational Administration and Policy Studies, 13 (2021) 2, S.72-75 (4 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2141-6656
Schlagwörter	Data Analysis; Homeless People; Children; Social Problems; Child Labor; Prediction; Education + Suchen Sie Ihr Suchwort? Auswertung; Homeless person; Homeless persons; Obdachloser; Child; Kind; Kinder; Social problem; Soziales Problem; Child labour; Kinderarbeit; Vorhersage; Bildung; Erziehung
Abstract	Data mining in education predictions are made about other groups based on the big data of education. However, the extent to which training data can be accessed is relative. A group that can be described as missing data is children living or working on the street. For this reason this study aimed to deal with children working or living on the street. Children who have to live or work on the street before they can complete their development are faced with many dangers arising from the street and may be exposed to social exclusion. In this context, the aim of this study is to examine the social dimension of the problems faced by children living or working on the street and to analyze and evaluate the limited number of data on this issue. The research is a compilation study in line with the literature analysis of the sources about children living and working on the street. (As Provided).
Anmerkungen	Academic Journals. e-mail: IJEAPS@academicjournals.org; Web site: http://www.academicjournals.org/journal/IJEAPS
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01