1 / 3

Market Basket Analysis

Market Basket Analysis.

yank
Download Presentation

Market Basket Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Market Basket Analysis Problem: given a database of transactions of customers of a supermarket, find the set of frequent items co-purchased and analyze the association rules that is possible to derive from the frequent patternsand how their rankings vary for different relevance measures (confidence, lift, etc.). Input: • supermarket.arff -- to be used with nodes: Association Rule Learner, Association Rule Learner (Borgelt), and Item Set Finder (Borgelt) • supermarket_weka.arff – to be used with node FPGrowth

  2. Learning curve Problem: Show experimentally whether the following statement is true or false: • for a fixed test set of 1000 rows, the larger is the training set the more accurate is the classier. Input: census.arff

  3. Customer Segmentation Problem: given the dataset of RFM (Recency, Frequency and Monetary value) measurements of a set of customers of a supermarket, find a high-quality clustering using K-means and discuss the profile of each found cluster (in terms of the purchasing behavior of the customers of each cluster). Input: rfm.arff • Recency = no. of days since last purchase • Frequency =no. of distinct shopping days • Monetary =total amount spent in purchases

More Related