Search Results for "artificial intelligence linux" - Page 2
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Showing 33 open source projects for "artificial intelligence linux"
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OSBI (open source business intelligence) is a set of libraries developed in JAVA that implement a BI platform. It also provides a sample server that accepts commands in XML format and a sample web client (JSP, Servlets) to the server
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agorum core is the Document Management System (DMS) with the drive-interface. It allows access to the stored documents with a network share. It offers a wide range of DMS-Functionality:Search,Versioning,Archive,Workflow,... See http://www.agorum.com
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Use Pentaho open source business intelligence tools and MySQL to collect & distribute web analytics (clickstream) data. Extract data from logs, load database tables, & present the information in dashboards, analysis cubes, and reports for business users. This project has been moved to github - https://github.com/cjlavigne/breadboard
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CAIR is an e-learning project that allow users and subjects management. You can associate pupils and teachers to subjects and works for this subjects. There are special functionalities for those subjects related to Robocup development.
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Hollaka Hollala is a chatbot engine and IRC bot. The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.
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Catalogo is a system for cataloguing resources on a web site. It allows semantic search of information on an intranet using metadata, RDF and ontology concepts. It provides a Catalog server (Java web applications) and a Catalog client (Firefox plug-in).
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Web-based phone alert system. User can enter text alert message and have the system play the message over the phone using text-to-speech software. Interface to Voicent Gateway, a VoiceXML server. Call any telephone that may not have text messaging suppor
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
