Search Results for "meta"

...This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler" Resful API for this project is getting built as (Beta Version) https://sourceforge.net/projects/restful-api-for-osdq/ apache spark based data quality is getting built at https://sourceforge.net/projects/apache-spark-osdq/

...The simulator delivers a 3D visual interface and provides as an output file all the instantaneous microscopic information related to each boid (positions and velocities over time), allowing in this way subsequent analysis, such as searching for synthetic and higher-level descriptions of collective behaviors, relying for instance on global network and meta-structural properties.

The National Library of New Zealand's Metadata Extraction Tool automatically extracts preservation-related metadata from digital files, then output that metadata in XML formats. It can be used through a graphical user interface or command-line interface. Please take the latest code from 'https://github.com/DIA-NZ/Metadata-Extraction-Tool.git'. The code on source forge will not be updated henceforth as it is moved to github.

Highly efficient Data Generator for Benchmarks and Algorithm Performance Analysis. Supports fully configurable schemata as well as meta structures like Foreign Keys and Functional Dependencies.

OpenSHORE is an XML based Semantic Document Repository (SDR) with a free definable meta model that builds up a semantic network from sections and relations in documents. The acronym SHORE means Semantic Hypertext Object Repository.

Ontea - Pattern based Semantic Annotation Platform. Ontea search or create semantic meta data from text or documents using pattern based approaches. Implementation currently includes regular expressions (regex) patterns

KADis is a software architecture reconstruction utility, which uitilizes the Knowledge Discovery Meta-Model of the OMG. It uses source nagivator NG for parsing the architecture and enables saving the architecture as an XML file.

A utility to extract meta-information (properties/comments) out of various file-types; e.g. HTML, PDF, RTF & various Office documents; OGG/MP3 files and JPEG/PNG/GIF images, which can be presented in various output formats (HTML, XML, LaTeX & plain t

National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.

The MIX program is meta-analysis software for Excel 2000 or 2003 that works like a standalone application. This version of MIX, however, is no longer maintained and replaced my MIX 2.0. MIX 2.0 can be found at http://www.meta-analysis-made-easy.com.

The Functional Annotation and Correlation Tool allows the meta-analysis of data from high-throughput experiments (typically microarrays) by annotating (clones, genes, GeneOntology, location, etc.) and correlating data sets to identify important patterns.

Meta Computing Framework

XSY# is an open source project to implement multi-formalisms such as Discrete Event System Specification (DEVS) as well as meta-heuristic search techniques such as Genetic Algorithms.

META is a decision making software which aims are to track computer attackers, computer attacks and to help investigators finding useful elements.

The Text Annotation Environment (tae) can be used to annotate natural language text manually or automatically (UIMA Annotator) with meta information (tokens, part-of-speech, named entities, ...). Tae is based on Eclipse and IBM's UIMA.

A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).

MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.

Java application that can extract meta-data from binary files. xml files are used to describe binary file formats. The resulting data can be saved as xml or transformed into another format.

OBIEE UDML (Universal Database Markup Language) parser, providing an XML output, enabling other applications to take advantage of the meta data.