Search Results for "data mining matlab" - Page 13
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Showing 800 open source projects for "data mining matlab"
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RDA Toolbox
MATLAB tool for analysis of Raman spectra.
Provides principal component analysis, discriminant analysis, peak analysis, and clustering tools powered by MATLAB in an easy-to-use interface for the interpretation of Raman spectroscopy data. -
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QAL
Query Abstraction Layer
Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. -
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PyPES Library
Library of analytic potential energy surfaces
...The PyPES code enables the generation of energy derivatives to 6th order about any point on the potential energy surface in a range of common coordinate systems, including curvilinear internal, Cartesian and normal mode coordinates. For portability, FORTRAN, C, MATLAB and Mathematica wrappers are provided to interface with PyPES, reading in PyPES-generated Cartesian and normal mode derivative data via a text interface. -
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FieldTrip
The MATLAB software toolbox for MEG and EEG analysis
FieldTrip is the Matlab toolbox for EEG and MEG data. It includes algorithms for simple and advanced analysis, such as importing, preprocessing, time-frequency analysis, source reconstruction, statistical testing and connectivity analysis. -
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SPIW - Scanning Probe Image Wizard
Scanning Probe Image Wizard - MATLAB Toolbox
SPIW is a MATLAB toolbox, for automated processing of scanning probe microscope images. Tools are applicable to all SPM images, but the main focus is on images with atomic or molecular resolution. SPIW is primarily a MATLAB toolbox with functions designed to be called in a user's own script. SPIW also has a very basic GUI for browsing and exporting images. For information on SPIW's performance see our publication ( http://dx.doi.org/10.1063/1.4827076 ) in the Review of Scientific... -
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ankus
Data Mining and Machine Learning Algorithms based on MapReduce
[The feature of ankus] * ankus is a 'web-based big data mining project and tool'. - MapReduce-based data mining/machine learning algorithms library - Hadoop-based distributed bigdata system - offering a web-based GUI for easy use [The ankus project & License] * The ankus project consists of three as an open source. * ankus has Dual licensed under the community and commercial licenses -
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MindEye
Neuromarketing software for marketing experiments
It is a free neuromarketing software to marketing experiments. It sync two neuro hardware. It works with EyeTribe (Eye tracking) and EEG (electroencephalogram)) MindWave of Neurosky C+ and .Net. Matlab -
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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Problem Description: 20 newsgroup Classification problem Bayesian learning for classifying net news text articles: Naive Bayes classifiers are among the most successful known algorithms for learning to classify text documents. We will provide a data set containing 20,000 newsgroup messages drawn from the 20 newsgroups. The dataset contains 1000 documents from each of the 20 newsgroups. 1. For classes descriptions, please refer Table 6.3 of Dr. Mitchell's book (Machine Learning, Tom...
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classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
...Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format. Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. Out of all the methods, SVM using the Libsvm [1] produced the most accurate and optimized result for its classification accuracy for the 20 classes. All the algorithm implementation was written Matlab. ... -
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ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
During the past few years, whole exome sequencing has imposed itself for genetic research, largely due to its use for detection of causative mutations responsible for Mendelian disorders. As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community,... -
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The Environmental Data Management System (EDMS) is a data archiving and retrieval system based on PostGresSQL RDBMS. The system is operated with the help of a suite of Matlab M-Files. Data can be queried with Web Services which are also included.
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Red-RF
Reduced Random Forest for big data
Red(uced)-RF, a new type of Random Forests that adopts dynamic data reduction and weighted upvoting techniques. Red-RF is favorably applicable to big data: it demonstrates an accurate and efficient performance while achieving a considerable data reduction w.r.t. dataset size. Manuscripts available on IEEE Xplore: H. Mohsen, H. Kurban, K. Zimmer, M. Jenne and M. Dalkilic. Red-RF: Reduced Random Forests using priority voting & dynamic data reduction. In IEEE BigData Congress'2015. H.... -
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FGAP
an automated gap closing tool
Development version: https://github.com/pirovc/fgap FGAP aims to improve genome sequences by merging alternative assemblies or incorporating alternative data, analyzing the gap region and indicating the best sequence to close the gap. -
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The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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Spatio-Kemporal kriging
Spatio-Kemporal forecast
The Spatio-temporal Kriging is a small software for kriging. The main function of this software including: 1. This software have both Chinese and English speech interfaces; 2. Supports three kinds of time data format(day,month and year; 3. Analysis of basic statistics and normal distribution inspection; 4. Spatio-temporal Semi-variance Calculating; 5. Spatio-temporal model curvefitting of both separable and non-separable models; 6. Spatio-temporal interpolation of single time and many... -
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Web Application Protection
Tool to detect and correct vulnerabilities in PHP web applications
...WAP detects the following vulnerabilities: - SQL injection using MySQL, PostgreSQL and DB2 DBMS - Reflected cross-site scripting (XSS) - Stored XSS - Remote file inclusion - Local file inclusion - Directory traversal - Source code disclosure - OS command injection - PHP code injection WAP is a static analysis tool that performs taint analysis to detect vulnerabilities, tracking malicious users inputs and checking if they reach calls of sensitive functions. It has a low rate of false positives because has implemented a data mining module to predict false positives when detects vulnerabilities. The output of the tool is: - shows the vulnerabilities found and how they are corrected - new files with the corrections -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ... -
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SSLTool is a Matlab based toolbox for bioelectromagnetic data (EEG/MEG) visualization, surface Laplacian calculation and modeling. It can compute surface Laplacian on realistic head surfaces given by a triangular mesh. It has a friendly GUI.
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lasYmat provides a set of Matlab routines for reading and writing LAS files. LAS is a world wide Oil & Gas industry standard for distribution of Well Log data.
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EyeBallGUI
a tool for interactively viewing & marking multi-channel biosignals
...The purpose of EyeBallGUI is to facilitate the eyeballing of multi-channel biosignals for the purpose of artefact rejection (or any other binary grouping). EyeBallGUI displays a set of time-series signals in a MATLAB Figure window, allowing the user to visually inspect and interact with the data via the mouse and keyboard in order to mark data as bad/rejected. The tool can be used to visualize a wide range of data types to make any kind of binary decision about segments of data. However, the motivation for the tool is to facilitate the visualization of multi-channel EEG data for the purpose of artefact rejection. ... -
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freeDatamap
FreeDatamap spatializes the map of your organization’s data.
...FreeDatamap delivers a fast and visually attractive user interface that runs on any support: computers, tablets or phones. Features list : • Unlimited users : full web 2.0 application • Data visualization : one centralized trusted map for all your data • Workflow and business process visualization • Search capabilities • Report creation • Advanced analytics • Data mining • Dashboard, gauges, alerts -
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Dr Fit
Automated fitting of dose-response curves
Dr Fit enables to automatically fit a curve to your experimental dose-response data. The data, which should be saved in .xls files, is uploaded through the software which then automatically models it. The resulting curve can be saved in a high resolution figure or as a matlab figure. Responses/Effects can also be interpolated/extrapolated at various doses. Dr Fit, associated method, and our new multi-phasic model have been described in the following paper: G. ... -
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Matlab software for analysis of skin conductance data (SC; viz., electrodermal activity, EDA; galvanic skin response, GSR). Data decomposition and scientific analysis based on deconvolution approach. Various functions via GUI or batch-mode.
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Free Windows Network User Accounting
User Computer and IP Address Tracking
FWNUA (Free Windows Network User Accounting) runs silently in a Windows login script or GPO and collects data about user logins. FWNUA keeps track of the workstations logins so you don't have to! FWNUA now supports syslog and Splunk! Look for the fwnua - syslog version in the files list. Use Splunk or your own syslog server with data mining tools to create a robust user tracking system. Find our Spunk app on Splukbase: https://splunkbase.splunk.com/app/2773/
