The graduation papers finally reported a paragraph, and the paper was also recommended to recommend evaluation, and the rest of the work is still much, but I always fully confident in our entire project team. The teacher of the college also recommended that we take these college students who take the evaluation project to participate in a Amway Cup. Since OpenMiner's general framework has come out, we only need to fill a few tables.
The OpenMiner Data Mining Engine applied for an open SVN address at the beginning of the graduation design development:
Http://svn.javascud.org/svn/openminer, you can download the source code of the entire OpenMiner engine for free from this address.
At the beginning of the OpenMiner design, just imitating the Weka project, making a toolkit of data mining, then free to users, users call this toolkit to develop data mining related applications according to their own needs. Later, maybe it was a stimulus of excavation language, and I feel that anyway, I will provide a set of API's way, but it is better to provide a set of open excavation languages to allow users to operate the OpenMiner mining engine. Thus, imitating the mining language specification of Microsoft Ole DB for Data Mining, we have developed a simple set of XML-based data mining languages. Then the entire OpenMiner can completely make a separate running mining engine rather than a simple kit.
Once Openminer has made a lot of network interfaces, thread pools, database connection pools, configuration permission management, and the workload rose. OpenMiner will eventually be a specialized data analysis server program running in the background.
Perhaps the OpenMiner server module we develop does not have a professional numerous Java server framework so excellent, but after all, the core of OpenMiner is its data mining algorithm module. Waiting for the future, we can also revisit the code of its network part. The entire OpenMiner will be an open source project that is continuously developed.
Data mining techniques are from the beginning of the high-end technology with knowledge engineering. In fact, data mining technology can simply see data analysis technology. However, for data analysis, you often see a simple numerical statistics. And data mining technology, more is to find knowledge from data (usually regular, mode), however, data mining is also data analysis. Moreover, data analysis is far from not in numerical statistics and data mining, which is a very vast research area.
