Welcome to GahbonMining - a Data Mining Server for Raven Db.

Data Mining is a field in computer science, and in particular, in Artificial Intelligence, which consists of intelligent algorithms that are capable of solving tasks that are very difficult for a computer (sometimes, but not always, these tasks might be easy for a human but impossible to model as a deterministic computer algorithm). Existing data mining algorithms can classify articles to topics, answer questions written in a natural language (such as English), process and classify images according to their content, predict stocks' prices, find association rules between different properties of an object, rank the importance of properties of an object, find patterns in shop orders to determine which products are usually bought together, find good tactics to be used by bots in a computer game, and much more...

Due to the variety of the existing data mining methods and the fact that the data mining field is very mature, almost any computer system can find domain specific data mining tasks that would be useful for increasing the productivity of the system or for adding intelligent features to it. If you are using RavenDb and can think of a useful implementation of a data mining task in your system, we strongly encourage you to try the commercial-but-inexpensive, very capable GahbonMining Server.

Please download go to the downloads page and download the sample application (alpha version) to try out GahbonMining server and get a chance to affect what will be included in the first version of GahbonMining.

Please go to the documentation page for learning more about what GahbonMining server can do, how it does it and how to use it.

Join our google group for bug reports, feature suggestions (to existing algorithms and new data mining algorithms), help and feedbacks.

An important motivation for trying the sample application is being one of the first users of GahbonMining. By reporting the results of GahbonMining on your data, you might get the chance of having us tuning GahbonMining's algorithms according to your dataset.

In addition to performance reports of GahbonMining on your data, we are especially interested in what you think of the API, what additional features to existing algorithms you require and what unimplemented (in Alpha Version) data mining algorithms you require.

Note that for your comfort, the sample application is using an embedded RavenDb server as well as an embedded GahbonMining server, so you don't have to install anything in order to run it.

Also note that each data mining algorithm is based on a combination of several machine learning algorithms, which means that the algorithms usually require a lot of time in order to converge to a good solution. For your comfort, the sample application comes with the sample data mining tasks after they finished learning for the first time, and thus can be queried right away (the results are already stored in the embedded RavenDb server).