Search Results for "data capture framework" - Page 2
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Showing 72 open source projects for "data capture framework"
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Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.
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xBook
xBook is a framework for archaeological databases
xBook is a common framework for several archaeo-related database applications developed and published by Ludwig Maximilian University of Munich. All database applications that are based on the framework (called Books) provide the same basic technical features, but each application can be extended individually. Especially the Synchronisation and the User Rights Management are strong features that allow creating backups and sharing your data to collaborate with other users. ... -
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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Gpf4Med
Graph Processing Framework for Medical Information
Gpf4Med is a graph processing framework for clinical data, which can leverage from previously existing medical database and Cloud computing facilities to address large-scale studies. -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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DocCO
Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning. -
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TRAK MooD Template
Simple, no-nonsense description of Enterprise Architecture in MooD.
This template was developed by Vega Consulting Services to implement the TRAK enterprise architecture framework in MooD. It includes versions for MooD version 15 and the previous version 2010. -
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NaRIBaS
Unix-based preparation and analysis toolbox for molecular simulations
Unix-based preparation and analysis toolbox for Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab using bash scripts, Gromacs tools and Matlab functions. NaRIBaS provides a framework that decouples user input parameter and terminal based command lines. NaRIBaS does not replace a simulation software and specific analysis tools like Gromacs, but it allows iterative repetition of tasks while changing specific input parameter. The toolbox is to be understood as a scripting framework rather than a black-box software. ... -
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AdPreqFr4SL
Adaptive Prequential Learning Framework
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. ... -
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Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
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GAMES ESMI
The Energy Sensing and Monitoring Infrastructure of the GAMES project
This is part of the GAMES Project, which consists of a set of innovative methodologies and Open Source ICT tools for designing and managing energy efficiency in IT Service Centres. The ESMI is the monitoring and sensing infrastructure which allows the fine-grained measurement and provides both an event-based and a real-time stream of data conveying information about the energy consumption in the key points of the overall system. It is completed by a set of Nagios plugin and an assessment tool which implements some green Performance Indicators and integrates data mining with the self adaptive controllers of the entire framework. -
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MuLaViTo
A framework for the visualization of multi-layer networks
MuLaViTo is a multi-layer visualization framework which allows to visualize relations between multiple graphs in derived applications. Moreover, it provides helpful means like k-shortest path algorithms, running algorithms in a separate thread, ... -
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Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machine learning workbench.
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Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
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Ferda is a user friendly data mining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.
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RubyMoss is a Web - Based Framework written with Ruby on Rails, intended to support all analysis and data processing for Mossbauer Spectroscopy. Written under BSD License.
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Cyberinfrastructure Shell (CIShell) is an open source, community-driven framework/application for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithms can be integrated using most programming languages.
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The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.
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Java Universal Network/Graph Framework
Java graph/network library
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1 -
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Oculux is a Video Analysis Software with automatic point recognition intended primarily for Sport Analysis in 2D.
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.
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A software framework. The goal is to create an open source framework for data analysis and operations for the petroleum industry..
