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A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning.
Detection Classification and Localisation of marine mammals
The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring.
This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates.
thank you sourceforge for hosting us for all these years.
Innovative text document search. http://dynaq.opendfki.de for details.
The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search.
Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de
osDQ dedicated to create apache spark based data pipeline using JSON
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/
This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also.
Get json example at https://github.com/arrahtech/osdq-spark
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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
Semtinel is an application framework for the semi-automatic creation, maintenance and analysis of hierarchical concept schemes (thesaurus, classification or ontology). Semtinel supports the development of new analysis methods and visualization techniques
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.
Feature extraction toolkit based on a wavelet multiscale
vision model. Includes 1D signal processing sample application for line
identification and classification of astronomical spectra.
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Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a
set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.