Market Basket Analysis

Market Basket Analysis is a data mining paradigm that involves searching and analyzing items that are frequently bought together or events that co-occur. The most popular technique is the Mining of Association Rules in a transaction database. Mining for mutually exclusive items is a subfield of association rules that involves searching for items that generally don’t appear together within a given context (e.g. similar but different types of coffee in the same basket). Such information can be used in order to extract stronger, more general rules.

Contact Person(s)

For further information please contact:

Berberidis Christos

Academic Associate, School of Science and Technology

Tel: +30 2310 807534
c.berberidis@ihu.edu.gr

Selected Publications

  • Tzanis G. and Berberidis C., "Mining for Mutually Exclusive Items in Transaction Databases", International Journal of Data Warehousing and Mining, David Taniar (Ed.), Idea Group Publishing, 3(3), 2007 (2007) • Journal Paper
  • Tzanis G., Berberidis C. and Vlahavas P. I., "On the Discovery of Mutually Exclusive Items in a Market Basket Database", Proc. 2nd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD 2006), Thessaloniki, Greece, September 6, 2006 (2006) • Conference Paper
  • Berberidis C. and Tzanis G., "Mining for Contiguous Frequent Itemsets in Transaction Databases", IEEE Third International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2005), Sofia, Bulgaria, September 5-7, 2005 (2005) • Conference Paper

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