Extending market basket analysis with graph mining techniques: A real case
Author
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Videla Cavieres, Iván Fernando
Author
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Ríos Pérez, Sebastián
es_CL
Admission date
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2014-12-30T20:31:35Z
Available date
dc.date.available
2014-12-30T20:31:35Z
Publication date
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2014
Cita de ítem
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Expert Systems with Applications 41 (2014) 1928–1936
en_US
Identifier
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DOI: Expert Systems with Applications 41 (2014) 1928–1936
Identifier
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https://repositorio.uchile.cl/handle/2250/126856
General note
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Artículo de publicación ISI
en_US
Abstract
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A common problem for many companies, like retail stores, it is to find sets of products that are sold
together. The only source of information available is the history of sales transactional data. Common
techniques of market basket analysis fail when processing huge amounts of scattered data, finding
meaningless relationships. We developed a novel approach for market basket analysis based on graph
mining techniques, able to process millions of scattered transactions. We demonstrate the effectiveness
of our approach in a wholesale supermarket chain and a retail supermarket chain, processing around
238,000,000 and 128,000,000 transactions respectively compared to classical approach.
en_US
Patrocinador
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Chilean Millennium Institute of Complex Engineering Systems
(ICM: P05-004-F FIN. ICM-FIC)