Title :
Modeling information space for decision-making in the interaction of higher education system with regional labor market
Author :
Avdeenko, T. ; Bakaev, M.
Author_Institution :
Novosibirsk State Tech. Univ., Novosibirsk, Russia
Abstract :
The paper describes novel approach to constructing decision-making support system based on multi-dimensional model of information space for the process of interaction between higher education system and regional labor market. The particular features of the proposed approach are: accumulation of data with the use of web-scrapping intelligent information system, building multi-dimensional OLAP-warehouse with data consolidation and aggregation, analysis of data based on OLAP technology and deep Data Mining. We provide an overview of up-to-date online data auto-collection technologies, and describe the architecture of the intelligent system accumulating labor market data since 2011. Finally, an example of analysis is presented that allows hypothesizing that labor market is oversaturated by NSTU graduates of certain majors.
Keywords :
data analysis; data mining; decision support systems; educational administrative data processing; further education; information systems; labour resources; NSTU graduates; OLAP-warehouse; Web-scrapping intelligent information system; data aggregation; data analysis; data consolidation; decision-making support system; deep data mining; higher education system; higher education system interaction; information space modeling; intelligent system; online data auto-collection technologies; regional labor market; Data mining; Data models; Decision making; Education; Industries; Monitoring; Web pages; Data Mining; Intelligent System; OLAP; Online Data;
Conference_Titel :
Actual Problems of Electronics Instrument Engineering (APEIE), 2014 12th International Conference on
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4799-6019-4
DOI :
10.1109/APEIE.2014.7040759
