Search Results for "data mining algorithms in c#.net" - Page 8
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Showing 227 open source projects for "data mining algorithms in c#.net"
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Extensible Compressed Trie
An extensible and compressed trie data structure written in C++.
An extensible and compressed trie data structure written in C++. -
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Public description: The 'cbear' framework is a set of libraries and common utilities for different programming languages and platforms.
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It is the source code for a tree mining algorithm called TRIPS. It can mine frequent subtrees from a forest of tree structures.
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Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
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CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
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The Flexible Registration and Evaluation Engine (f.r.e.e.) allows the composition, evaluation and optimization of image processing/registration algorithms. It also aims to boost the exchangeability and comparability of data and algorithms in research.
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Very useful framework library, contains many frequent used code snippets, algorithms, data structures, WinForms & APS.NET controls for all-day work.
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Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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The below is a list of all files released for the Crossbow's MNAV100CA with SPB400. This framework may provide a complete solution for AHRS, Navigation, WiFi Comm, and Data Logging, for various robotic applications.
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libmooreb is an ANSI-C, thread-safe implementation of basic data structures: lists, hashtables, trees, rings, stacks, etc. and algorithms: search, etc. there are also data-format processing functions: XML, CSV, etc.
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General Toolkit Library is a general purpose toolkit written in C++ designed to make it easier for developers to produce applications. It provides classes and templates that implement several data structures like Arrays, Lists, Heaps, Sets, Files, etc.
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A library written in C for lossy image compression. Library libopen/format OPEN supports two methods of compression - discrete cosine transform (used in JPEG) and discrete wavelet transform (used in JPEG2000).
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Library Of Randomized Algorithms: Randomization is a powerful idea has applications in science and engineering. Difficult optimization problems, protein folding and data mining are only a few of the problems that have been solved using randomization.
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Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).
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Automated computer program grading solutions designed for trainings on computer languages, data structures and algorithms. See http://openjudge.net for details.
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Command line encryption tool for one time, daemon, or stream data processing. Data stats, check sums, conversion to/from text. Data/keys from files, pipes, standard input. In-place/diverted processing or data-analysis-only. Random, file, password keys.
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Some data structures developed in c++ for the 'Algorithms & Data Structures' exam at the Computer Science Department of the University of Bari by Tafuni Vito & Nicola Perrini.
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yaghi (Yet Another GrapH Implementation) is a Free (as Freedom) Implementation in C++ for the data structure "Graph" using the STL library.
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NOD-MP stands for not another data-mining project. It is educational and scientific software to utilize data mining clustering algorithms through a user-friendly interface.
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DMTL (Data Mining Template Library) - A generic C++ based library for mining structured patterns such as sets, sequences, trees and graphs. The library provides implementation of popular frequent pattern mining algorithms.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.
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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.
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basE91 is an advanced method for encoding binary data as ASCII characters. It is similar to UUencode or base64, but is more efficient. The overhead produced by basE91 depends on the input data. It amounts at most to 23% and can range down to 14%.
