DocumentCode :
3642076
Title :
Actionable insights through association mining of exchange rates: A case study
Author :
Mehmet Arabaci;Armağan Aktuğ;Gürdal Ertek
Author_Institution :
Faculty of Engineering and Natural, Sciences, Sabanci University, Istanbul, Turkey
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
101
Lastpage :
106
Abstract :
Association mining is the methodology within data mining that researches associations among the elements of a given set, based on how they appear together in multiple subsets of that set. Extensive literature exists on the development of efficient algorithms for association mining computations, and the fundamental motivation for this literature is that association mining reveals actionable insights and enables better policies. This motivation is proven valid for domains such as retailing, healthcare and software engineering, where elements of the analyzed set are physical or virtual items that appear in transactions. However, the literature does not prove this motivation for databases where items are “derived items”, rather than actual items. This study investigates the association patterns in changes of exchange rates of US Dollar, Euro and Gold in the Turkish economy, by representing the percentage changes as “derived items” that appear in “derived market baskets”, the day on which the observations are made. The study is one of the few in literature that applies such a mapping and applies association mining in exchange rate analysis, and the first one that considers the Turkish case. Actionable insights, along with their policy implications, demonstrate the usability of the developed analysis approach.
Keywords :
"Gold","Exchange rates","Itemsets","Association rules","Investments"
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Print_ISBN :
978-1-61284-919-5
Type :
conf
DOI :
10.1109/INISTA.2011.5946082
Filename :
5946082
Link To Document :
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