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.
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.
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.
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
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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.
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.