Search Results for "weka for mac" - Page 2
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Showing 66 open source projects for "weka for mac"
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FlexDM
Simple, parallel and fault-tolerant data mining using WEKA
FlexDM has moved to http://madiflannery.github.io/FlexDM/ -
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Mechaglot, Calculate Semantic Similarity
Calculate semantic similarity for any human and human-like languages
... is, this project does not use any database and computes any Strings as an input. JAVA was the language of choice, due to availability of modelling tools. This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/. -Powered by WEKA, Classifier4J and SimMetrics. -
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EER
A WEKA package to calculate the Equal Error Rate (EER).
Calculates the Equal Error Rate (EER) using the ROC curve. This error is very used in Biometrics. This error is calculated when False Accept Error and False Rejecti Error are equal. This is a package for WEKA. -
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ml2db
Multi-label machine learning to database
A Java harness to load data from database, create Weka ARFF and Mulan ARFF+XML files, run machine learning experiments and save the evaluation and predictions to database. If using this code, please quote: BMC Bioinformatics, EnzML: multi-label prediction of enzyme classes using InterPro signatures, Luna De Ferrari, Stuart Aitken, Jano van Hemert and Igor Goryanin http://www.biomedcentral.com/1471-2105/13/61 -
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
... and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
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NetKit-SRL, or NetKit for short, is an open-source Network Learning Toolkit for statistical relational learning. The toolkit provides functionalities not found in any existing open source projects and integrates with the WEKA machine learning toolkit.
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gannu
Java API and tools for performing NLP and other AI tasks
... Disambiguation.. In F. Castro, A. F. Gelbukh & M. González (eds.), MICAI (1) (pp. 217-227), : Springer. ISBN: 978-3-642-45113-3 The zip file contains Gannu jar, source, API documentation and necessary resources for performing research. Gannu uses the following projects: Weka, JExcel API, Stanford POS Tagger and WordNet. Please cite them when using Gannu. -
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Multilabel Dataset GUI
An application for evaluating metric in Multilabel dataset
Multilabel Dataset GUI is a software for evaluating metric in Multilabel dataset. In this project we try to collect as much information as possible for characterizing multilabel dataset. This application is closely based upon the Weka and MULAN framework. -
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GISBox by Citiviz
Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...
... (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. The GISBox is free and open, allowing it to be freely distributed, duplicated and passed around, even with your own datasets and in-house applications. If you read this and are related to the Ecole polytechnique de Lausanne - EPFL (http://www.epfl.ch) in Switzerland, please use this link for downloading or support information: http://gisbox.epfl.ch. Happy (geo)Data Hacking! Brought to you by Citiviz' Builders -
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feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
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This project contains weka packages of neural networks algorithms implementations like Learning Vector Quantizer (LVQ) and Self-organizing Maps (SOM). For more information about weka, please visit http://www.cs.waikato.ac.nz/~ml/weka/
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Weighted Naive Bayes
Attribute Weighting for Naive Bayes
... on highly predictive attributes than those that are less predictive. We argue that for naive Bayes attribute weighting should instead be used to relax the conditional independence assumption. RAW is Weka add-on that selects weights to minimize either the negative conditional log likelihood or the mean squared error objective functions. -
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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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This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
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Class implementing algorithm for computing iceberg concept lattices with TITANIC for the data mining software weka
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This is a RapidMiner extension replacing the current Weka-Plugin with the updated 3.7.3 Weka-Version. This is basically a branch of the 3.7.3 Version of WEKA wrapped into the old extension. New Features Include: -All the Features of the 3.7.3 Weka Package -Multi-Threaded ensemble learning -An enhancement on the popular RandomForest Learner based on "Dynamic Integration with Random Forests" by Tsymbal et al. 2006 and "Improving Random Forests" by Robnik-Sikonja 2004. -More enhancements...
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Cougar Squared is a new Java library for machine learning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.
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weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework.
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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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stocleka is a project divided into a UI and a library for cleaning user stories and converting them to arff files (used for Weka). it may be mainly used for research and scientific purposes.
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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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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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MuSE-CIR is a Multigram-based Search Engine and Collaborative Information Retrieval system. Written in Java /JSP, supports any JDBC connectable database - thoroughly tested only with OracleXE, and somewhat with MySQL, JSP on Apache Tomcat 5.5
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Excel to Arff converter. You can easily convert the excel datas will be used data mining process to arff file format and then easily analyze your datas and results using WEKA Data Mining Utility.
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Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.