Open Source Information Analysis Software - Page 22

A graphical data manipulation and processing system including data import, numerical analysis and visualisation. The software is written in Java and built upon the Netbeans platform to provide a modular desktop data manipulation application.

Our goal is to develop a data mining platform for CRM. It is Java-based and conforms to JDM (JSR-73) standard. The first stage is a tool named multiobjective market segmentation using evolutinoary algorithms (MMSEA)

DataFarming - A suite of software to support data farming of models

Software to build database of all best solution of all configurations of Cube21/Square1 Silver edition puzzle cube. Also 3D UI is provided.

Datamatrix (2d barcode) reader for Symbian based mobile phones with built in camera. Projects aim is to create a free software that can be used to decoding datamatrix barcodes. Decoded datamatrix result is shown in a dialog box or passed to browser.

DeHinter is an enhanced file-sharing client that exploits the topology of the spontaneous communities of like-minded people to enable personalized social filtering techniques. The P2P layer is based on the Limewire Gnutella client.

Software de Mapas de Argumentos con interfaz gráfica diseñado con el objetivo específico (aunque no excluyente) de analizar la estructura argumentativa de demostraciones matemáticas, utilizando el modelo de Toulmin. Además, el contenido de los elementos puede ser tanto texto como imágenes, lo que permite guardar como imagen expresiones matemáticas escritas en LaTeX (utilizando software de apoyo como KLatexFormula). Se puede imprimir el diagrama y exportarlo a formato imagen (varios formatos) o generar un fichero HTML que contenga el diagrama y su contenido. Incorpora la herramienta "Estadísticas" que permite calcular totales, máximo, mínimos y medias de los elementos de varias demostraciones guardadas.

DeSR is a multilingual statistical dependency parser. It produces dependency parse trees for natural language sentences using a parsing model learned from annotated corpora.

DTreeJungle provides educational applets to teach the concepts of decision trees for regular pattern recognition.

Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently. The app was and is developed at the University of Rochester (http://cbim.urmc.rochester.edu) under the GPL 3.0 license. This is a fork of that project.

A 'Defect' Tracking System. This aims at providing a user friendly interface for users to track the 'defects' encountered while developing a software. Created using PHP, JGraph, JavaScript and MySQL RDBMS on Linux Platform with Apache.

DemuxFS is a live filesystem to aid on the analysis of transport streams in digital TV systems such as the SBTVD (ISDB-T), DVB and ATSC.

DenseBlocks is an unsupervised classification method for n-dimensional numerical data. It creates a multi-dimensional density representation of given training samples, defines clusters accordingly and returns this representation which can further be used to classify related data.

This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571

DesktopTools is a collection of small utillities which help to make your daily life easier. Since the tools themself are rather small (projectwise) I keep them not as individual projects, but have them under this collective name.

This project tries to find geographical locations (formulated by GPS positions) for specific queries (eg 'art') in specific environments (eg 'Maastricht') by analyzing webpages.

Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.

Digital Image Processing Toy process in real time live images captured from video4linux compatible hardware. Remove background from captured tv camera images, invert image colors, split rgb field, display coor istograms, etc.... Strong changes in light i

DigitalEyes is an OCR (Optical Character Recognizer) developed in C/Caml released under GNU GPL by SuM42, as a sophomore project in EPITA.

Diktyologia is software for investigating complex systems with advanced methods of network theory. The package allows for analysing statistical properties of directed intercausal networks that are represented in form of cy.prus XML files.

DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many feature selection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.

DiscriAlign implements a novel algorithm that aligns a set of biological interaction networks.It identifies both functionally conserved and dissimilar regions.

A project aims to develop a system which trains LDA model in distributed enviorenment. I studied Hadoop based solution and found that Hadoop is not fit for distributed LDA training case. In this project I implement a platform based on socket.

The Diversity Engine provides tools to create diversity-aware multimedia search applications.

This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.