Search Results for "data mining"
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Showing 52 open source projects for "data mining"
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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GeoDMA
Geographic feature extraction and data mining
GeoDMA is a plugin for TerraView software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification. -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
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stkpp
C++ Statistical ToolKit
...At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template classes in C++ and is suitable for projects ranging from small one-off projects to complete data mining application suites. -
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BitMagic Library
Compressed bit-sets, sparse bit matrices and algorithms
BitMagic - C and C++ library implementing dynamic bitvectors and bit-set algorithms with several types of on-the-fly, adaptive compression. Designed for use in databases, search systems, data-mining algorithms, scientific projects. The core of the library is C++, but it provides C-compatibility wrappers and can be compiled without C++ runtime. Optimizations for Intel SSE2, SSE4.2 and AVX2. -
Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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The Lemur Project
Search engine and data mining applications and ClueWeb datasets.
The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application. -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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GEOMS2
Geostatistics and geosciences modeling software
...attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download -
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xLearn
High performance, easy-to-use, and scalable machine learning (ML)
xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and... -
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InflationCoin (IFLT)
Standard Proof of Stake Cryptocurrency.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information. It is able to exploit the parallel capabilities of manycore NVIDIA GPUS. It also makes use of C++11 multithreading support to accelerate one phase of the algorithm on several CPU cores. -
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Bolt ML
10x faster matrix and vector operations
Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with high-dimensional data commonly used in machine learning systems. ... -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).
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Ionwinze
Spot the differences between samples, groups and classes
To download please go to Browse All Files for the complete pack! In mass spectrometry the detector responses are not always directly proportional to the quantity of compounds. Large peaks in LCMS traces are not equal to major components but their ionizability. The effectiveness of a medicinal plant, poisons in a mushroom, resistance and susceptibility to pest and diseases are not necessarily because of the compounds that give large peaks. These traits are determined by the different... -
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MashPalsP2p
P2P Social Networking application under Linux
...Online websites providing social networking services are very popular but people don’t normally come across their limitations, which includes privacy concern, requirement of internet connectivity and unauthorized data mining on user data. MashPalsP2p is kick-starter project build around the idea of overcoming these problems while building a efficient system for providing social networking services. Peer-to-peer (P2P) computing or networking is a distributed application architecture that partitions tasks or work loads between peers. Peers are equally privileged, equipment participants in the application. ... -
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That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).
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Gen3D
A tool for 3D genome and chromosome structural model construction
Gen3D is an application designed to determine three-dimensional genome and chromosome models. It uses chromosomal contact data to construct three-dimensional conformations. This method can generate three-dimensional chromosomal models satisfying a large portion of chromosomal contacts. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. ... -
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The c2001 spatio-temporal mining library
An open source spatio-temporal data mining library
Current functions: 1. The General Association Rule Mining Framework(GARMF) library, which support mining association rules from transactions(boolean, weighted, fuzzy), spatial datasets (vector and raster) and spatio-temporal datasets (raster snapshots). Besides it support incremental mining. 2. Rule Filtering Library (RFL), a library for rule evaluation. 3. Besides, DAP-Shell, a GUI shell for GARMF and RFL, will be provided. However I'll pay no more attention on it. -
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SubPatCNV
Approximate association pattern mining algorithm for CNVs.
SubPatCNV (Subspace Pattern-ming of Copy Number Variations) is a data mining tool for discovery of CNV regions that exhibit in subsets of samples larger than a support threshold. SubPatCNV is suitable for analysis of arrayCGH data of a population or a patient cohort such as HapMap data or TCGA data to answer specific questions like "Which are all the chromosomal fragments showing nearly identical deletions or insertions in more than 30% of the individuals in the HapMap population or TCGA tumor samples?". ... -
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Mr.FSM
Large-Scale Frequent Subgraph Mining in MapReduce
This is the program used in the following paper: Wenqing Lin, Xiaokui Xiao, and Gabriel Ghinita. Large-Scale Frequent Subgraph Mining in MapReduce. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE), pages 844-855, 2014. Please cite the paper if you choose to use the program. If having any problems, please report to {wlin1 at ntu dot edu dot sg}. -
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QuazarCoin (QCN) is a new cryptocurrency based on the CryptoNote and uses the CryptoNight algorithm. QuazarCoin protects your data and privacy with help of completely anonymous transactions with ring signatures.
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A collection of classes and facilities targeted at any kind of communication / presentation, from user interfaces to information kiosks to data-mining.
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GPU Frequent Items
Frequent items mining exploiting sorting on GPU http://goo.gl/HYBFl
In this project, we tackle the calculation of frequent items in a data stream, and show how it can be implemented using GPUs. -
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DiffGen
Differentially-private algorithm based on Generalization
Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among existing privacy models, epsilon-differential privacy provides one of the strongest privacy guarantees and has no assumptions about an adversary's background knowledge. All the existing solutions that ensure epsilon-differential privacy handle the problem of disclosing relational and set-valued data in a privacy preserving manner separately. ...
