Search Results for "data mining matlab" - Page 24
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Showing 800 open source projects for "data mining matlab"
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The TPAC Digital Library is a web-based application that publishes large catalogs of scientific data.
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SHMTools is set of compatible software tools (mostly Matlab based) for structural health monitoring (SHM) research. This includes algorithms for system design, modeling, data acquisition, feature extraction, classification, and prognosis.
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Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
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This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
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Nounou is a Java library for handling optical imaging data. The core consists of a modular stream of "filter blocks" that each modify or display the data. It is easily called from Mathematica and Matlab, for advanced figure output.
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DM LiWeCool is a tool for preprocessing light-weight CSV data files as Weka-compatible. It includes merging different header lines into one, editing values (encoding, categorizing, etc) and saving data as ARFF or XRFF (Weka native). It is Java-based.
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Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the command line without GUI-support.
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Tool for visualizing artificial neural networks in Matlab using the Matlab Neural Network Toolbox (see wiki for details).
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"poco" (Spanish & Italian for "little") OLAP provides a web-based, crosstab reporting tool for your datawarehouse. While it's not an OLAP server or full fledged data mining solution, pocOLAP makes your data easy to use and understand ... for free!
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A way to use XFOIL for airfoil analysis with MATLAB. Utilizes Perl to provide a pty to interface with XFOIL and to parse results to send back to MATLAB. "MatPerlXFOIL: Half MATLAB, Half Perl. Half XFOIL. EXELSIOR!"
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This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.
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KeplerWeka adds the functionality of the open-source machine learning and data mining workbench WEKA to the free and open-source, scientific workflow application, Kepler.
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The Python Mixture Package (PyMix) is a freely available Python library implementing algorithms and data structures for a wide variety of data mining applications with basic and extended mixture models
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The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.
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Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
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primeHandle is a set of data management tools in support of the PrIMe Initiative (http://primekinetics.org). primeHandle includes graphical user interfaces for searching through data collections, editing and submitting data to the PrIMe Data Depository.
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The SeismoWeb Toolbox is a collection of Matlab and Java tools providing access to seismological webservices. The current focus lies on the NERIES earthquake data portal, but it is intended to add more webservices in the future.
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Open data mining platform. Provides common architecture for algorithms of various types. Efficient processing of arbitrarily large volumes of data thanks to data streaming. Weka and Rseslib partially integrated. (www.debellor.org)
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Kosmos distributed file system provides high performance combined with availability and reliability. It is intended to be used as the backend storage infrastructure for data intensive apps such as, search engines, data mining, grid computing etc.
