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Software Defined Storage
The layered architecture of QuantaStor provides solution engineers with unprecedented flexibility and application design options.
QuantaStor is a unified Software-Defined Storage platform designed to scale up and out to make storage management easy while reducing overall enterprise storage costs.
A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Open data mining platform. Provides common architecture for algorithms of various types. Efficient processing of arbitrarily large volumes of data thanks to data streaming. Weka and Rseslib partially integrated. (www.debellor.org)
Engage your employees and agents more efficiently with ScreenMeet as a seamless extension of your existing IT Service Delivery Platform.
ScreenMeet’s unique combination of video calling, screen share, and remote desktop functionality lets you quickly diagnose hardware and software issues with no frustration.
Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.
New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1
JAVA based tool for easy and realtime monitoring (RTM) of data streams or groups of data streams. This tool makes it easy to monitor inherent distributed or multi-threaded applications like e.g. agent systems, financial data, logistics, RFID Systems
Projeny (Probablistic Networks Generator in Java) is a graphical (Java SWT) front-end to BNT (Bayes Net Toolbox for Matlab). Projeny requires BNT, JMatLink and a Matlab back-end. There is no installable release package, but source code is available on SVN - please check out from SVN to use Projeny. Projeny was started with BNJ as the base.
Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.
All Things Performance and Partner Marketing, All in One Place
Track calls, leads, and clicks without the manual work
Automatically tie revenue back to campaigns, channels, publishers, and networks through marketing attribution. Spend less time juggling reports, and more time optimizing for growth by using a single operating solution for partner and performance marketing.
Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.
Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
Complete technical analysis & trading system, full set of features: retrieve, analyze EOD stocks data; manage multiple portfolios; technical analysis & graphical rendering; neural networks for generation of trading signals; support trader community
The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
SenseRank Sys:
- builds the dictionaries (multidim matrices) of words’ values;
- for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
JRete is a rule engine written in Java. Advantages over other expert system shell and artificial intelligence(AI) API - code rules in java language, data may compute accross network with multiple JRete, auto data persistence to database, event-fire direc
Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).