Search Results for "arff"
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Showing 19 open source projects for "arff"
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CUDA-JMI
Tool for feature selection using the JMI metric and multiple GPUs
CUDA-JMI is a parallel tool to accelerate the feature selection process using Joint Mutual Information as metric. This tool receives as input a file with ARFF, CVS or LIBSVM extensions that contais the values of m individuals and n features and returns a file with those features that provide more non-rendundant information. -
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ParBiBit
Parallel tool to search biclusters on binary datasets
ParBiBit is a parallel tool to accelerate the search of biclusters on binary datasets, especially useful for gene expression data. This tool receives as input the expression values of n genes and m samples in a file with ARFF extension and returns a file with the biclustering information. -
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information. It is able to exploit the parallel capabilities of manycore NVIDIA GPUS. It also makes use of C++11 multithreading support to accelerate one phase of the algorithm on several CPU cores. -
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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Arryved POS SystemArryved was built to help craft beverage makers thrive.
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It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
In data classification, there are no particular classifiers that perform consistently in every case. This is even worst in case of both the high dimensional and class-imbalanced datasets. To overcome the limitations of class-imbalanced data, we split the dataset using a random sub-sampling to balance them. Then, we apply the (alpha,beta)-k feature set method to select a better subset of features and combine their outputs to get a consolidated feature set for classifier training. To... -
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jAudio is a project implementing a number of common feature extraction algorithms for analyzing audio in java. Output is either in Weka's ARFF format or the ACE format. Can be used either as a GUI application, command-line application, or embedded. The primary repository is on github (dmcennis) which pushes to this projects github repository.
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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
...They are the meta algorithms which requires base algorithms e.g. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file 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 -
Quality Management SoftwareisoTracker Quality Management is a popular cloud-based quality management software (QMS) that is used by small to medium sized businesses on a worldwide basis. It helps to manage ISO 9001, ISO 13485, ISO 22000, ISO 17025, ISO 14001 systems...plus many similar other systems. It also conforms to the requirements of 21 CFR Part 11.
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...Il sistema si compone di due pagine web: una rivolta all’inserimento della temperatura (espressa in Fahrenheit) e della quantitá di luce (espressa in Lux) rilevate in una certa data, l’altra rivolta invece alla ricerca e alla loro rappresentazione in forma grafica, tabellare e alla generazione del codice ARFF. La ricerca delle informazioni comporta l’uso di piú filtri, ciascuno composto da un valore massimo e un valore minimo di luce, temperatura e data. L’utente sará solo in grado di effettuare la ricerca delle informazioni, al contrario l’amministratore sará in grado di effettuare entrambe le operazioni. Al momento il sistema non prevede identificazione tramite username e password.
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This is a CSV (Camma Separated Values) to ARFF file format converter script written in python. Just 'Save As' your csv file as 'test.csv' and this script will convert it to 'test.arff' !
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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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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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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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Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents.
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Clown is a "clustering" framework. It allows you to cluster datasets (in ARFF) format using a number of different clustering algorithms.
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A utility to extract data from RDBMSs and convert into .arff file format required by WEKA data mining tool set, both interactive wizard and batch working modes.
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ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
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