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Saudi Arabia Market Basket Analysis

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Advances in Data Science, Cyber Security and IT Applications (ICC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1098))

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Abstract

Market Basket Analysis is one of the famous Data Mining applications, where is the later extract hidden and previously unknown patterns, relationships and knowledge that are difficult to detect with traditional statistical methods [1]. This type of analysis is rarely been applied in the Arab Markets compared to the non-Arabic Markets. This paper will address the Saudi Arabia Market Basket Analysis using real data from one of the biggest Supermarkets in Saudi Arabia. At the end of this analysis study, we come up with a helpful information and facts for Saudi Arabia Markets. Finally, we come up with new knowledge about Saudi Arabia baskets which may help both marketers as well consumers in the same time.

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References

  1. Gancheva, V.: Market basket analysis of beauty products. Master Thiese, pp. 16–20. Erasmus University Rotterdam (2016)

    Google Scholar 

  2. Gupta, S., Mamtora, R.: A survey on association rule mining in market basket analysis. Int. J. Inf. Comput. Technol. 4(4), 409–414 (2014)

    Google Scholar 

  3. Master Thesis. Market basket analysis of beauty products, Docplayer.net (2016). http://docplayer.net/3183780-Master-thesis-market-basket-analysis-of-beauty-products.html. Accessed 4 Mar 2016

  4. Dippold, K., Hruschka, H.: Variable selection for market basket analysis. Comput. Stat. 28(2), 519–539 (2013)

    Article  MathSciNet  Google Scholar 

  5. Mild, A., Reutterer, T.: An improved collaborative filtering approach for predicting cross-category purchases based on binary market basket data. J. Retail. Consum. Serv. 10, 123–133 (2003)

    Article  Google Scholar 

  6. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, vol. 1215 (1994)

    Google Scholar 

  7. Pasquier, N., Bastide, Y., Taouil, R., Lakhal, L.: Efficient mining of association rules using closed itemset lattices. Inf. Syst. 24(1), 25–46 (1999)

    Article  Google Scholar 

  8. Strehl, A., Ghosh, J.: A scalable approach to balanced, high-dimensional clustering of market-baskets. In: Valero, M., Prasanna, V.K., Vajapeyam, S. (eds.) HiPC 2000. LNCS, vol. 1970, pp. 525–536. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-44467-X_48

    Chapter  Google Scholar 

  9. Kaur, H., Singh, K.: Market basket analysis of sports store using association rules. Int. J. Recent Trends Electr. Electron. Eng. 3(1), 81–85 (2013)

    Google Scholar 

  10. Charlet, L., Kumar, A.: Market basket analysis for a supermarket based on frequent itemset mining. IJCSI Int. J. Comput. Sci. 9(5), 3 (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Monerah Alawadh & Shahad Tallab

  2. IT Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Israa Al-turaiki

  3. Strategic Management & Marketing, College of Business Administration, KSU, Riyadh, Saudi Arabia

    Mohammed Alawadh

Authors
  1. Monerah Alawadh
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  2. Israa Al-turaiki
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  3. Mohammed Alawadh
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  4. Shahad Tallab
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Corresponding authors

Correspondence to Monerah Alawadh , Israa Al-turaiki , Mohammed Alawadh or Shahad Tallab .

Editor information

Editors and Affiliations

  1. Princess Nourah Bint Abdul Rahman University, Riyadh, Saudi Arabia

    Auhood Alfaries

  2. Princess Nourah Bint Abdul Rahman University, Riyadh, Saudi Arabia

    Hanan Mengash

  3. Hasselt University, Hasselt, Belgium

    Ansar Yasar

  4. Acadia University, Wolfville, NS, Canada

    Elhadi Shakshuki

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Alawadh, M., Al-turaiki, I., Alawadh, M., Tallab, S. (2019). Saudi Arabia Market Basket Analysis. In: Alfaries, A., Mengash, H., Yasar, A., Shakshuki, E. (eds) Advances in Data Science, Cyber Security and IT Applications. ICC 2019. Communications in Computer and Information Science, vol 1098. Springer, Cham. https://doi.org/10.1007/978-3-030-36368-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-36368-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36367-3

  • Online ISBN: 978-3-030-36368-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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