Search Results for "data mining matlab" - Page 22
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Showing 800 open source projects for "data mining matlab"
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jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
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The name of this project is DuruBI. It is Enterprise Reporting Tool allows DB(Data Base) and OLAP(Online analytical processing) and DM(Data Mining) to query and reporting from various data sources.
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The project would include the development of XUL, CSS and Javascript components to assist biologists in sequence manipulations, data mining, data analysis, etc.).
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mfBox
A Matlab toolbox for performing model-free analysis of fMRI data
The mfBox is a Matlab toolbox for performing model-free analysis of multivariate data sets. It also plugs into SPM used for the analysis of multivariate brain recordings such as fMRI, SPECT and PET data sets. This project is looking for a new maintainer! -
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This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
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An analysis pipeline for mining exome-Seq and RNA-Seq data, focusing on quality control, SNP identification and annotation, RNA quantification, differentially expressed genes analysis, eqtl, and pathway analysis. http://seqgene.sourceforge.net
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This is an add-on visualization package for the Weka data mining tool. Parallel coordinates is a common way of visualizing high-dimensional geometry and analyzing multivariate data. To show a set of points in an n-dimensional space, a backdrop is dr
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The project contains a lecture course “Data Mining in Business Analytics”, materials of workshops and code. It is devoted to algorithms of data analysis and their applications. It includes practical examples from business and financial sector.
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It's a term project for data mining course INSE6180 Summer 2011 @ Concordia University which locates in Montreal, Canada. We have 4 team members.
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C2Mat is a simple wrapper library that allows OpenCV data structures to be transferred between C++ and Matlab. It lets a program combine the speed of OpenCV with the power of Matlab.
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This serves as a repository for various research projects relating to data mining and text analysis.
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Stochastico is an implementation of stochastic discrimination for pattern recognition, predictive modeling and data mining applications.
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MATLAB GUI and code to map cell distribution around smooth spherical microcarriers beads from laser scanning confocal microscope images
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Class implementing algorithm for computing iceberg concept lattices with TITANIC for the data mining software weka
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MSA2SNP is a tool for mining SNP sites in multiple sequence alignment (MSA). This tool inherits the easy-to-use interface from MEGA4 Explorer with advance data presentation. MSA2SNP lets you visualize alignments and import from CLUSTAL program directly.
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CMMFile is a fast and easy to use binary file exchange interface between c++, Mathematica and Matlab
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Our goal is to develop a data mining platform for CRM. It is Java-based and conforms to JDM (JSR-73) standard. The first stage is a tool named multiobjective market segmentation using evolutinoary algorithms (MMSEA)
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A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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Data Preprocessors in Machine Learning and Data Mining, aiming to convert arbitrary data into numerical format, and convert features to representations that can be easily learned by standard machine learning algorithms and achieve high accuracy.
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Knime (http://www.knime.org) nodes for sequence bioinformatics. Sequime is an eclipse plug-in for the KNIME data mining platform, providing additional nodes for reading, processing and visualizing sequence information.
