Open Source Information Analysis Software - Page 56

A web-based repository for UIMA-compliant information analysis components, with a web-based interface for humans and a plugin interface for IDEs. More information is available at this project's website.

The Unstructured Information Management Architecture (UIMA) Framework is an open, scalable and extensible platform for building analytic solutions that process unstructured information to find latent meaning, relationships and relevant facts.

An easy-to-use tool, to foster a model driven architecture.

ResData is an institutional metadata repository to facilitate effective management, discovery and sharing of institutional research data collections. It integrates with institutional enterprise systems, such as HR and Grant management systems to facilitate re-use of existing information, such as People and Project records. ResData has been developed by the Library Repository Services, University of New South Wales. The work was supported by the Australian National Data Service (ANDS) under its MS21 program. ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super Science Initiative.

Uechi APM Web is an APM (Application Performance Management) Open Source Server Performance Monitor written and developed in Java and C # for all Linux and Windows platforms. The Uechi.APM.Web offers a complete resource for unlimited monitoring servers in real time. Have full control of the CPU consumption, memory, disk and network traffic. Communication is done via TCP Protocol Socket connection. More information, please visit: http://uechi.com.br/uechi-apm-web-eng/

Umami is a simple, easy to use, self-hosted web analytics solution. The goal is to provide you with a friendlier, privacy-focused alternative to Google Analytics and a free, open-sourced alternative to paid solutions. Umami collects only the metrics you care about and everything fits on a single page. You can view a live demo here. Umami measures just the important metrics that you care about: pageviews, devices used, and where your visitors are coming from. Everything is displayed on a single, easy to browse page. Umami is able to track an unlimited number of websites from a single installation. You can even track subdomains and individual URLs. Umami is hosted by you under your own domain so you can reliably avoid ad-blockers unlike Google Analytics. The tracking script is tiny (only 2KB) and supports legacy browsers like IE. Umami can be used to host data for friends or clients. Just create a separate account and they can start tracking their own websites on their own dashboard.

This is a Survey-Tool in PHP written, using MySQL. You can setup pages within questions. It is design to satisfy a marketing-company. Hiermit schriftliche Umfragevorlage online setzen und ausfüllen lassen. Es können mehrere Umfragen angelegt werden

UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.

UDAV is program for data arrays visualization based on MathGL library. It support wide spectrum of graphics, simple script language and visual data handling and editing.

Universal information crawler is a fast precise and reliable Internet crawler. Uicrawler is a program/automated script which browses the World Wide Web in a methodical, automated manner and creates the index of documents that it accesses.

The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large number of file formats, and even the possibility to link to JDBC databases. Multi-dimensional matrices as well as generic matrices with a specified object type are supported and very large matrices can be handled even when they do not fit into memory.

Universal Tag Finder is a tool to query against html content in the file system. For developers it allows to find out relevant elements during the troubleshooting and validating periods. Does not need to bother on massive regex to find out elements.

This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). This method can be used to create the user-defined classes by merging texts of certain categories and then to calculate the relevant distances between the documents, but this is not necessary.

Uranie is a sensitivity and uncertainty analysis plateform based on the ROOT framework (http://root.cern.ch) . It is developed at CEA, the French Atomic Energy Commission (http://www.cea.fr). It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.

umss is a method for single stepping of a Win32 x86 binary without processor support (without TF flag). Its main goal is efficiency of gathering of large quantities of information about process state.

A tool for analyzing video data of human user studies. Allows playback of multiple video streams simultaneously, along with annotation capabilites and visualization of aggregated annotation categories. Written in C#, with c++ directX for video playback.

UserStory-FeatureTracker is an Access database for tracking eXtreme Programming projects with an easy to use interface. Built to be easy to adapt to other agile development processes. Tracks: projects, iterations, stories/features, questions and tasks.

Reimplementation of the anomaly detection/one-class classification algorithm 'V-detector'.

VDM.net So how can I call you My Dear Project?

VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.

VIKAMINE is a flexible environment for visual analytics, data mining and business intelligence - implemented in pure Java. It features several powerful visualization and mining methods, and can utilize background knowledge.

This program analyses the XML data file from the VJ Army Beatmania IIDX Online Scoreboard (www.vjarmy.com/iidx)

VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods. When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. If a suitable answer is not found then the program stops after specified max generations are over.