A Java implementation of WordNet::Similarity - a Perl coded package that allows one to measure, in various ways, the similarity between word senses using the structure of WordNet.
Hadoop On Demand (HOD) is a system for provisioning virtual Hadoop clusters over a large physical cluster. It uses the Torque resource manager to do node allocation. On the allocated nodes, it can start Hadoop Map/Reduce and HDFS daemons. It automatically generates the appropriate configuration files (hadoop-site.xml) for the Hadoop daemons and client. HOD also has the capability to distribute Hadoop to the nodes in the virtual cluster that it allocates. In short, HOD makes it easy for administrators and users to quickly setup and use Hadoop. It is also a very useful tool for Hadoop developers and testers who need to share a physical cluster for testing their own Hadoop versions.
Reading runtime information about Java is useful sometime when your application is struggling in getting resources. System Memory is one of the main resource that an application developer has to consider while managing the application.
Hence sometimes it is beneficial to see what amount of memory is your application using and what is the free memory in system.
Having seen Java, J2EE for a long time, and now that I am getting familiar with OSGi, I am really excited to share my new learning. In this post I have made an attempt to compare the class loaders of Java, J2EE and OSGi at a very high level.
Auf dieser Seite finden Sie alle Dokumente welche den Umgang mit RapidMiner (früher YALE) erläutern. Die ersten Kapitel des RapidMiner Tutorials zusammen mit dem GUI Manual sind ein guter Einstiegspunkt in Ihre Arbeit mit RapidMiner. Wir empfehlen zusätzlich die Durchführung des Online Tutorials welches Sie im Menü "Help" (Hilfe) von RapidMiner finden.
J. Illig, A. Hotho, R. Jäschke, and G. Stumme. Knowledge Processing and Data Analysis, volume 6581 of Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 10.1007/978-3-642-22140-8_9.(2011)
J. Illig, A. Hotho, R. Jäschke, and G. Stumme. Knowledge Processing and Data Analysis, volume 6581 of Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 10.1007/978-3-642-22140-8_9.(2011)