In the era of big data and cloud computing, digital records of supermarket sales data and
other accompanying factors are ubiquitous. However, less than optimal WeeklySale s can …

With the remarkable increase in online transactions, market basket analysis has become
more relevant. Identifying the buying patterns and generating more relevant …

The coffee shop business offers a diverse range of coffee and food options. However,
customers often experience delays during transactions due to the extensive selection of …

Nowadays global retail business faces new challenges due to changes in consumer buying
preferences, likewise in Indonesia that consequence increasing level of competition among …

Maverick Buying describes unwelcome behaviour in the field of corporate purchasing
management. It is a purchasing made outside the purchasing and procurement processes …

The challenge of today's e-commerce companies is how to extract large data into
information for decision making, especially in terms of promoting products to be relevant …

Data mining is the process of determining new, unanticipated, valuable patterns from
existing databases by considering historical and recent developments in statistics, artificial …

The proposed research work develops a system focused on business opportunities to
enhance market returns and improve marketing strategies and new strategies by identifying …

Data mining can uncover valuable information from large amounts of redundant data, where
association rule mining is one of the most important research element. By mining …

Association rule mining algorithms such as Apriori and FPGrowth are extensively being
used in the retail industry to uncover consumer buying patterns. However, the scalability of …