For many centuries, emeralds have bejeweled the rich and famous all over the world. Emeralds have also made many millionaires overnight, sometimes by chance, as in some of the cases reported in this study. On the other hand, even though emeraldmining has brought some economic benefits,many of these have remained at the top of the production chain. In many cases mining activities have caused a n...

Data mining is the process of discovering interesting knowledge from large amount of data stored in databases and these techniques based on advanced analytical methods and tools for handling a large amount of information. Much research is being carried out in applying data mining to a variety of applications in healthcare.This thesis explores data mining techniques in health care. In particular...

Conditions in the mining industry have diverged significantly in recent years from those in the rest of the economy. In particular, after several years of strong performance in the mid 1990s, the industry entered a sharp downturn in the wake of the Asian economic crisis, stemming from weaker external demand and lower commodity prices. One consequence of this has been a steep cut-back in mining ...

Recently, economic depression, which scoured all over the world, affects business organizations and banking sectors. Such economic pose causes a severe attrition for banks and customer retention becomes impossible. Accordingly, marketing managers are in need to increase marketing campaigns, whereas organizations evade both expenses and business expansion. In order to solve such riddle, data min...

A significant contemporary challenge for gold mining companies is to define economic process options for treating more complex ore bodies as the less refractory ores become depleted. Demonstration of economic treatment options allows gold companies to maintain and increase their ore reserves. The selection of options to treat a specific ore is significantly impacted by factors such as mineralog...

The main goals of Association Rule Mining (ARM) are to find all frequent itemsets and to build rules based of frequent itemsets. But a frequent itemset only reproduces the statistical correlation between items, and it does not reflect the semantic importance of the items. To overcome this limitation we go for a utility based itemset mining approach. Utility-based data mining is a broad topic th...

In addition to sharing and applying the knowledge in the community, knowledge discovery has become an important issue in the knowledge economic era. Data mining plays an important role of knowledge discovery. Therefore, this study intends to propose a novel framework of data mining which clusters the data first and then followed by association rules mining. The first stage employs the ant syste...

Business and scientific organizations, nowadays, own databases containing confidential information that needs to be analyzed, through data mining techniques, in order to support their planning activities. The need for privacy is imposed due to, either legal restrictions (for medical and socio-economic databases), or the unwillingness of business organizations to share their data which are consi...