The growth of competition in the telecommunications industry due to technological variety has facilitated the invention and expansion of new techniques for processing subscriber data to predict their behavior. Subscriber traffic represents all kinds of electronic data transmitted in the network [1]. This data is usually in the form of network flows passing from one node to another [2]. Furthermore, accurately predicting subscriber data can improve the Quality of Experience (QoE) to foresee and predict various anomalies, especially when the company faces revenue loss due to malicious activities. In addition, having the ability to forecast future data usage can be crucial for bandwidth sharing policy within the telecommunication business. Particularly, forecasting integrates a strong sense of seasonality towards data growth to enable management to better predict potential revenue and anomalies.

Email marketing is often misunderstood. When people ask me what I do and I tell them I'm an email marketing specialist, the first (and most frequent) response I get is "Oh, so you send all those spam emails? Or "Oh, so you just send emails all day? I wish that's all I had to do." This is annoying for a number of reasons, but mostly because it seems that no one really appreciates (or understands) the effort that goes into making a good email. We live in a time of rapid growth and innovation.