Search Results for "mchange-commons-java" - Page 26
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Showing 637 open source projects for "mchange-commons-java"
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Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.
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Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
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ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.
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businetz is a web-based application which enables users of the popular business network XING to create a sophisticated visualization of their personal network.
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OBIEE UDML (Universal Database Markup Language) parser, providing an XML output, enabling other applications to take advantage of the meta data.
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BIRD stands for Business Intelligence Research and Development and it is part of the CoIntell Corporation (www.cointell.com). The goal of the BIRD community is to develop smart BI solutions Fast!
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What is TIMS? Converts streets and highways into logical point system and retrieves traffic information from this points. Application Features Data Mining Real time analysis
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** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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Weka++ is a collection of machine learning and data mining algorithm implementations ported from Weka (http://www.cs.waikato.ac.nz/ml/weka/) from Java to C++, with enhancements for usability as embedded components.
