Search Results for "data mining algorithms in c#.net" - Page 14

BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).

Ferda is a user friendly data mining tool. It is a modular distributed multiplatform framework based on Internet Communications Engine. Ferda is very powerful in working with association rules.

OpenGI is a platform-independent C-library for parameterizing triangular meshes and creating Geometry Images from this parameterization.

Project contains engine to construct Fuzzy Reasoning System. Package might be used when Fuzzy Reasoning is appropriate e.g. in trading, control, modelling, human behavior simulation.

Leark is a Data Mining library developed in C#.NET. It contains several methods for ranking web documents described with a set of normalized features, and a feature selection algorithm. The methods are based on perceptron and clustering.

The ordered_tree class template is an implementation in C++ of the ordered tree data structure. It implements breadth, depth search, as well as child and leaf iterators. A single header file is needed to use the code.

Application for optimizing the layout of 3 dimensional boxes in a constrained space.

Introduction: ZoomFX is a free tool to help in image batch process thanks to an helpful visual interface and powerful filters. Just use drag & drop to apply some filters to a bunch of images. Author: Eloi Du Bois.

breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.

Automata editor is a vector editor for drawing finite automata according to VauCanSon-G format with tools for working with finite automata such as basic algorithms, exporting transition table to LaTeX format and automata work simulation.

Application allows you to understand better six sorting algorithms (Insert, Select, Bubble, Quick, Merge, Heap). Time controls included like pause and step-by-step execution. Executed code is highlighted (just like in any debugger).

OpenPIV is an initiative of scientists to develop a software, algorithms and methods for the state-of-the-art experimental tool of Particle Image Velocimetry (PIV) which are free, open source, and easy to operate.

A data mining tool for finding frequent motifs in DNA regulatory area that may play significant role in gene regulation. It makes the search more efficient by using different data like conservation and binding scores about relevant promoter areas. It is implemented as a part of Barchelor thesis work of Timo Petmanson available here: http://comserv.cs.ut.ee/forms/ati_report/downloader.php?file=0701eb033c3bad8d3be4a79a29c70107c1cad745

Remote monitoring and controll system for home use. Main goal is to create multilayer software for collecting data (weather data, measured data), gain remote access via web page, and controll some aspects like heating and lighting. https://flattr.com

Spy4j is a framework implemented in java which will provide APIs to support Java developers to perform data mining operations on the end user's behavior data using various collective intelligence algorithms.

System for Web usage mining and data warehouse: it allows the discovery of knowledge from data (KDD) regarding users' usage on the Web (such as unique visitors, sessions, transactions) and organise it in a RDBMS (currently PostgreSQL). Written in C++.

Don't hard-code data-structures for Artificial Intelligence (AI). Evolve them (and control flow) as cycles of arrays in arrays with size constraints based on other array sizes (at specific index) in terms of range, multiply, exponent, or permutation. No working code yet. Whats there now is an extension of GigaLineCompile which would become part of Human AI Net, but there are other projects to finish before I can come back to this one.

SEAL - A Simple Easy And Lite C++ library of common/day-to-day data structures and algorithms.

Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation

This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.

A suite of data mining algorithms implemented in C++ for use in a distributed environment.

ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.

A light-weight cross platform C++ library for console and file I/O, fast data structures and algorithms, CPU identification (CPUID), and sockets (TCP and UDP).

C ADT(Abstract Data Types) is a simple template library written in C which implements commonly used abstract data structures, such as linked lists, trees, queues, stacks, hashes, graphs and associated algorithms.

TypeRecognizer is C++ class which enables the developer to recognize data types in compile-time