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AI in the wild Prof. Dr. Firing NtoutsiRingvorlesung Mathematikerinnen UND Informatikerinnen HETE, Berlin, 24/05/2022To know us better 09/1996 09/2001, Diploma, Computer Engineering and Informatics
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How to fill out co-occurrence patterns in market-basket

01
Start by gathering a dataset of transactions from a market-basket
02
Create a co-occurrence matrix by counting the number of times items appear together in the transactions
03
Normalize the co-occurrence matrix by dividing each value by the square root of the product of the individual item frequencies
04
Use the co-occurrence patterns to identify frequently co-occurring items or item sets in the market-basket

Who needs co-occurrence patterns in market-basket?

01
Market analysts looking to understand purchasing patterns and customer behavior in a market-basket
02
Retailers aiming to improve product recommendations and optimize product placement in stores
03
E-commerce platforms seeking to enhance cross-selling and upselling strategies
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Co-occurrence patterns in market-basket refer to the occurrence of specific items together in customer transactions.
Retailers, marketers, and analysts who want to understand customer purchasing behavior may need to analyze and file co-occurrence patterns in market-basket.
Co-occurrence patterns in market-basket can be filled out by running algorithms on transaction data to identify frequently co-occurring items.
The purpose of co-occurrence patterns in market-basket is to identify associations between items that are frequently bought together, helping businesses make informed decisions on product placement, cross-selling, and promotions.
The information reported on co-occurrence patterns in market-basket usually includes pairs or sets of items that are commonly purchased together, along with the frequency of these occurrences.
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