Association rules as a market basket analysis technique, is used to measure the regularities in the purchase of different set of items. These information gathered from the results of Association rules can be used as the basis for taking decisions about marketing activities such as, discounts (promotional pricing) or product placements. In this particular paper I am going to use the Association rules to determine how items should be placed next to each other on the display shelves in a particular supermarket based on data from customers' previous transactions.

In this paper, I take a look at how PCA can be applied in image compression to save storage space.

Customer segmentation is a very important tool for every business and organizations. It helps business owners and marketers to be able to identify key areas that need attention and more efficient strategies in order to satisfy their customers. In this paper, the K-MEANS and PAM algorithms have been employed to achieve the clusters.