ASSESSING THE MICROECONOMIC FACET OF ASSOCIATION RULES VIA AN EFFICIENT WEIGHTING SCHEME

Ioannis N. Kouris, Christos H. Makris and Athanasios K. Tsakalidis
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Ioannis N. Kouris: University of Patras, School of Computer Engineering and Informatics, 26500 Patras, Hellas, Greece and Computer Technology Institute, P.O. BOX 1192, 26110 Patras, Hellas, , Greece
Christos H. Makris: University of Patras, School of Computer Engineering and Informatics, 26500 Patras, Hellas, Greece and Computer Technology Institute, P.O. BOX 1192, 26110 Patras, Hellas, , Greece
Athanasios K. Tsakalidis: University of Patras, School of Computer Engineering and Informatics, 26500 Patras, Hellas, Greece and Computer Technology Institute, P.O. BOX 1192, 26110 Patras, Hellas, , Greece

Chapter 31 in People, Knowledge and Technology:What Have We Learnt So Far?, 2004, pp 340-349 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractMost algorithms and approaches dealing with the task of association rule mining have assumed all itemsets to be of the same nature and importance and used a single support. Very few have tried to address the non-uniformity and non-homogeneity of both the items and also their frequencies. Nevertheless none of the approaches that we are aware of have proposed a concrete way of identifying and assigning the correct measure of importance to every itemset; neither have they taken into consideration the framework within which a data mining activity should be viewed and implemented. In the paper we look into mining for retail organizations and view itemsets and associations rules through the appropriate microeconomic framework. We propose a weighting scheme that assigns the correct supports to all itemsets, automatically finds the most interesting ones and yet proves very efficient.

Keywords: Knowledge Management; Innovation; Communities; Collaboration; Knowledge Sharing; Culture; Knowledge Creation; Knowledge Management Strategies; Knowledge Discovery (search for similar items in EconPapers)
Date: 2004
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