ODT - THESIS TOPIC: Márk Molnár: Application of data mining ...


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Thesis topic proposal

Application of data mining methods to corporate and macro level forecasting

THESIS TOPIC PROPOSAL

Institute: Hungarian University of Agriculture and Life Sciences, Gödöllő
business and management
Doctoral School of Management and Business Administration

Thesis supervisor: Márk Molnár
Location of studies (in Hungarian): Szent István University
Abbreviation of location of studies: SZIU

Description of the research topic:

The widespread penetration of Internet-based sales open new perspectives in consumer behaviour and corporate decision making. The availability of big data enabled new analytical methods and software-based decision support systems. Beyond the solutions supporting optimal corporate operation (targeted offers, personalised products, etc) a new potential has arisen to measure market risk, forecast business cycles and stock exchange movements, to quantify the sentiments in news, and in general to convert information content into quantified economic indicators and to harvest its benefits more extensively.
The research topic applies big data methods in a given corporate (or macro-level) environment to provide new results which can be implemented in practice, and to design new forecasting tools and methods linked to a non-conventional data assessment framework.

Deadline for application: 2018-05-31

2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).