Projects tagged ‘data_mining’

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.

RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and ... [More] analytics in business intelligence (BI). RapidMiner provides more than 400 data mining operators, a graphical user interface (GUI), an online tutorial with hands-on data mining applications, a comprehensive PDF tutorial, many visualization schemes for data sets and data mining results, many different learning and meta-learning schemes ranging from decision tree and rule learners to neural networks, SVMs, ensemble methods, etc. RapidMiner is implemented in Java and available under GPL (GNU General Public License) as well as under a developer license (OEM license) for closed-source developers [Less]

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection ... [More] , generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

BioMart is a query-oriented data management system developed jointly by the European Bioinformatics Institute (EBI) and Cold Spring Harbor Laboratory (CSHL). The system can be used with any type of ... [More] data and comes with a range of query interfaces and administration tools, including 'out of the box' website that can be installed, configured and customised according to requirements. The system simplifies the task of creation and maintenance of advanced query interfaces backed by a relational database and it is particularly suited for providing the 'data mining' like searches of complex descriptive (e.g. biological) data. BioMart can work with existing data repositories by converting them to a required BioMart format as well as newly created databases. [Less]

MonetDB is a open-source database system for high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval. MonetDB often achieves a 10-fold raw speed improvement ... [More] for SQL and XQuery over competitor RDBMSs. The MonetDB distribution is covered by the MonetDB License derived from the Mozilla Public License, Version 1.1, by replacing the references to the Mozilla product with MonetDB, and by changing the jurisdiction to The Netherlands. [Less]

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modelling techniques. It can be used through a nice and intuitive user ... [More] interface or, for more advanced users, as a module for Python programming language. [Less]

Developed by the Knowledge Discovery Lab at UMass directed by Prof. Jensen, Proximity is tool for describing, exploring, manipulating, and modeling the interconnections of people, places, things, and ... [More] events. It has a high-performance engine for storing very large datasets (tens of M of nodes and links), a visual query language for complex searches, and a set of powerful machine learning modules that build human-readable explanations of how the nodes interact and influence each other. Proximity has modeled the Hollywood world, studied how to prevent securities fraud, helped analysts in the intelligence community, modeled protein interactions in cells, described the behaviour of P2P networks, predicted the success of NFL coaches, and improved anonymization techniques in social networks [Less]

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. ... [More] clustering, regression, classification, graphical models, optimization) and provides visualization modules. It includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave). [Less]

The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. These algorithms are well documented, both in the source code as on the documentation site. ... [More] Besides real machine learning algorithms also a lot of supporting classes are provided: distance measures, evaluation criteria, datasets for validation purposes and some sample code. Currently the library contains clustering algorithms, distance measures, wavelet transforms, fourier transforms, matrices, support vector machines and some other algorithms [Less]

Daemon for interaction and automated extraction of metadata into the Hyppocampus filesystem