Mining of association rules became one of the strongest elds of data mining This paper presents a classi cation rule learning algo rithm APRIORI C upgrading APRIORI to dealing with classi cation problems decreasing its memory consumption and time complexity fur ther decreasing its time complexity by feature subset selection and im proving the understandability of results by rule post processing...

Data mining algorithms have been recently applied to software repositories to help on the maintenance of evolving software systems. In the past, information about what classes changed together, obtained by mining software repositories, were used to guide future changes. We use this information to measure the possible impacts of a proposed change. In this paper we propose and compare two approac...

In the modern world, where data is in abundant, the problem of segregating data that leads to a specific purpose is the order of the hour. Traditionally we use data mining to achieve the purpose. A good example of the above mentioned problem can be found in a store. Generally, we use market basket analysis to find out which groups of products have a high chance of selling together. In this pape...

PT Herba Penawar Alwahida sells a variety of herbal products. The process buying and selling transactions occur every day, resulting in pile data pretty much. However, so far the transaction has only been used as material to make monthly reports without further use these, even though from these information can be extracted support marketing. To utilize existing data, authors website-based minin...