Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

The market trends rapidly changed over the last two decades. The primary reason is the
newly created opportunities and the increased number of competitors competing to grasp …

Pada era teknologi sekarang hampir semua bisnis ritel sudah menggunakan teknologi Point
of Sale (PoS), dimana semua transaksi di rekap dalam sebuah database sistem. Data yang …

Traditional association rule mining algorithms can have a long runtime, high memory
consumption, and generate a huge number of rules. Browsing through numerous rules and …

Shelf space on which products are exhibited is a scarce resource in the retail environment.
Retailers regularly make decisions related to allocating products to their outlets' limited shelf …

Shelf space allocation is the problem of methodologically allocating products on shelves in
retail stores to maximize profit, improve clients' satisfaction, and improve stock management …

A well-prepared abstract enables the reader to identify the basic content of a document
quickly and accurately, to determine its relevance to their interests, and thus to decide …

Market basket analysis is one of the important method generally used in data mining. It
analyzes customer purchasing behavior. It is a process to find relationship or association …

Achieving profit maximization by retailers is based on a comprehensive understanding of
their customers' brand preferences as well as their purchasing patterns. Segmentation of …