Data Mining is rapidly evolving areas of research that are at the intersection of several disciplines, including statistics, databases, pattern recognition, and high-performance and parallel computing. In this paper, we propose a novel mining algorithm, called ARMAGA (Association rules mining Algorithm based on a novel Genetic Algorithm), to mine the association rules from an image database, wh...

Data mining technology has emerged as a means of discovering hidden patterns and trends among large volumes of data and thus it can be considered as an important step in the knowledge discovery (KDD) process. In the area of data mining the task of Association rule (AR) mining is to discover interesting relations among various items in the database. One of the subfield of artificial intelligence...

Inventory has a very important role in increasing sales and service to consumers. The purpose of this study was determine the information patterns form association rules at certain period that can provide advice pharmacy managing drug inventory. algorithm used is priori results rules. Association are obtained by implementing an apriori data mining website-based system using laravel resulting ca...

Nowadays, discovery the association rules is an important and controversial area in data mining research studies. These rules, describe noticeable association relationships among different attributes. While most studies have focused on binary valued transaction data, in real world applications, there data usually consist of quantitative values. With that in mind, in this paper, we propose a fuz...

This work examines and proposes a new method for web mining inference based on Fuzzy Cognitive Maps. The web mining inference and knowledge extraction consists of two phases. At the first phase the a priori algorithm is used for web mining and a collection of Association rules is inferred. In the second phase, the set of Association Rules is transformed into a Fuzzy Cognitive Map (FCM). It inve...