Suspicious domains and how to find them
Automatic close domain name variant detection using string similarities Phishing, as one of the most popular social engineering attacks, aims to obtain an Internet user’s »
Analysis of registrations from registrant point of view
This is a follow-up post on registrant classification. Before reading this post, make sure to check out Registrant Classification using Machine Learning. In the last post, »
Registrant Classification using Machine Learning
An important task in text data mining is text classification/categorisation. The objective, is to start with a training set of documents (e.g. newspaper articles) »
Registrar Size Prediction
An interesting request we received after the register size prediction presentation at the Registrar Conference earlier last year, was a suggestion of applying similar methodology on »
Register Size Prediction
In my previous two posts, we've seen how to model domain retention prediction and new creates forecasting. Those are essential model components required for a register »
Domain Retention Prediction
Customer-base analysis has become increasingly important. A critical part of the analysis is the prediction of retention rate, which is defined as the proportion of customers »
Time Series Analysis of .nz Activity Data
The number of new domain creations is an important indicator of the registry activity. Using an appropriate method to predict the number of creations in the »
Domain retention prediction using DTMC
Being able to predict domain name retention / renewal is an important tool for registries to better understand the behaviour of domain names in the register. The »