Market basket analysis of retail data: Supervised learning approach

Gabriel Kronberger; Michael Affenzeller

doi:10.1007/978-3-642-27549-4_59

Market basket analysis of retail data: Supervised learning approach

Gabriel Kronberger, Michael Affenzeller

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

4 Zitate (Scopus)

Abstract

In this work we discuss a supervised learning approach for identification of frequent itemsets and association rules from transactional data. This task is typically encountered in market basket analysis, where the goal is to find subsets of products that are frequently purchased in combination. In this work we compare the traditional approach and the supervised learning approach to find association rules in a real-world retail data set using two well known algorithm, namely Apriori and PRIM.

Originalsprache	Englisch
Titel	Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Seiten	464-471
Seitenumfang	8
Band	6927
Auflage	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27549-4_59
Publikationsstatus	Veröffentlicht - 2012
Veranstaltung	13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spanien Dauer: 6 Feb. 2011 → 11 Feb. 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Nummer	PART 1
Band	6927 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	13th International Conference on Computer Aided Systems Theory, Eurocast 2011
Land/Gebiet	Spanien
Ort	Las Palmas de Gran Canaria
Zeitraum	06.02.2011 → 11.02.2011
Internetadresse	http://www.iuctc.ulpgc.es/spain/eurocast2011/

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10.1007/978-3-642-27549-4_59

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Kronberger, G., & Affenzeller, M. (2012). Market basket analysis of retail data: Supervised learning approach. in Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers (PART 1 Aufl., Band 6927, S. 464-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6927 LNCS, Nr. PART 1). https://doi.org/10.1007/978-3-642-27549-4_59

Kronberger, Gabriel ; Affenzeller, Michael. / Market basket analysis of retail data : Supervised learning approach. Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. Band 6927 PART 1. Aufl. 2012. S. 464-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this work we discuss a supervised learning approach for identification of frequent itemsets and association rules from transactional data. This task is typically encountered in market basket analysis, where the goal is to find subsets of products that are frequently purchased in combination. In this work we compare the traditional approach and the supervised learning approach to find association rules in a real-world retail data set using two well known algorithm, namely Apriori and PRIM.",

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Kronberger, G & Affenzeller, M 2012, Market basket analysis of retail data: Supervised learning approach. in Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 Aufl., Bd. 6927, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nr. PART 1, Bd. 6927 LNCS, S. 464-471, 13th International Conference on Computer Aided Systems Theory, Eurocast 2011, Las Palmas de Gran Canaria, Spanien, 06.02.2011. https://doi.org/10.1007/978-3-642-27549-4_59

Market basket analysis of retail data: Supervised learning approach. / Kronberger, Gabriel ; Affenzeller, Michael.
Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. Band 6927 PART 1. Aufl. 2012. S. 464-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6927 LNCS, Nr. PART 1).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

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AU - Kronberger, Gabriel

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AB - In this work we discuss a supervised learning approach for identification of frequent itemsets and association rules from transactional data. This task is typically encountered in market basket analysis, where the goal is to find subsets of products that are frequently purchased in combination. In this work we compare the traditional approach and the supervised learning approach to find association rules in a real-world retail data set using two well known algorithm, namely Apriori and PRIM.

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DO - 10.1007/978-3-642-27549-4_59

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VL - 6927

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Kronberger G , Affenzeller M. Market basket analysis of retail data: Supervised learning approach. in Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 Aufl. Band 6927. 2012. S. 464-471. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-27549-4_59

Market basket analysis of retail data: Supervised learning approach

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