MACHINE-LEARNING.INFO - Whois Information
Knowledge Discovery and Machine Learning Bonn (www.kdml-bonn.de)
The Knowledge Discovery Machine Learning (KDML) group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users.
Machine-learning.info
To improve performance of WHOIS service and to prevent its excessive high-volume use by a single source, we implemented a randomly generated Access Code that must be entered before running a WHOIS request.
The Access Code in the box is provided in graphics format. It has letters which are generated randomly and the symbol images are distorted. The distorted symbols cannot be read by computer programs which are used for mass-collect email addresses and any customer information. Only humans can read the distorted symbols and pass the access code.
The Access Code improves performance of our services. It prevents excessive high-volume use by a single source.
The services that require Access Codes are:
Whois – after entering the correct Access Code you can run 10 WHOIS requests before you will be prompted to enter a new Access Code.
Site Info – you can run 25 Site Info requests before you will be prompted to enter an Access Code.
Trace Route - you can run 20 Trace Route requests before you will be prompted to enter an Access Code.
RBL Check - you can run 20 RBL Check requests before you will be prompted to enter an Access Code.
What’s my IP - Access Code is not required for this service.
NOTE: We may modify Access Code policy at any time without notice on this web page.