Title:	DYNAMIC DATA ASSIGNING CLUSTERING FOR SCHOOL GROUPING
Author(s):	Olga Georgieva
ISBN:	978-989-8533-80-7
Editors:	Ajith P. Abraham, Jörg Roth and Guo Chao Peng
Year:	2018
Edition:	Single
Keywords:	Data Clustering, Data Driven Modeling, Decision Support, Education
Type:	Short Paper
First Page:	189
Last Page:	193
Language:	English
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Paper Abstract:	Following the current trends in data driven solutions, this paper aims to explore a value-creation mechanism for open data of education sector. Dynamic data assigning algorithm for cluster identification is investigated for the ability to group schools based on the students’ scores. The primary purpose of the solution is to drive decisions about the education system and policies for reducing the risk of premature leaving the system accounting for the current state of the presented learning deficits.
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