Search Results for "mining - software" - Page 3
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Showing 144 open source projects for "mining - software"
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GEOMS2
Geostatistics and geosciences modeling software
GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. -
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XMR-Stak
Unified All-in-one Monero, Sumokoin, Aeon and other Cryptonote miner
XMR-Stak is a universal Stratum pool miner. This miner supports CPUs, AMD and NVIDIA GPUs and can be used to mine the crypto currencies Monero, Aeon and many more Cryptonight coins. -
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GMOL
A tool for 3D genome structure visualization
GMOL is an application designed to visualize genome structure in 3D. It allows users to view the genome structure at multiple scales, including: global, chromosome, loci, fiber, nucleosome, and nucleotide. This software was built upon the pre-existing Jmol package by Prof. Cheng's group. 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. The project is supported by the National Science Foundation (grant no. ... -
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JSentiWordNet
A wrapper for the famous SentiWordNet, a resource for opinion mining
This project aims to provide a wrapper around the SentiWrodnet, a lexical resource for opinion mining. As defined by the authors : SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. You can find additional information about the creation of SentiWordnet here : http://nmis.isti.cnr.it/sebastiani/Publications/LREC06.pdf sentiWordnet (avilable here : https://drive.google.com/open?id=0B0ChLbwT19XcOVZFdm5wNXA5ODg) is a text file with a... -
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DSTK - Data Science TooKit 3
Data and Text Mining Software for Everyone
DSTK - Data Science Toolkit 3 is a set of data and text mining softwares, following the CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and algorithms. It is based on the old version DSTK at https://sourceforge.net/projects/dstk2/ DSTK Engine is like R. DSTK ScriptWriter offers GUI to write DSTK script. DSTK Studio offers SPSS Statistics like GUI... -
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jMIR
Music research software
jMIR is an open-source software suite implemented in Java for use in music information retrieval (MIR) research. It can be used to study music in the form of audio recordings, symbolic encodings and lyrical transcriptions, and can also mine cultural information from the Internet. It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata. -
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Ethereum Mining NVIDIA Graph Card Ubuntu
USB flash drive ISO image for Ethereum, Zcash and Monero mining
USB flash drive ISO image for Ethereum mining with NVIDIA graphics cards and Ubuntu GNU/Linux (64-bit Intel/AMD (x86_64)). Other cryptocurrencies, such as Monero or Zcash, can also be mined. With this ISO image, you can immediately mine Ethereum (ETH). Do not spend long time searching and researching. If you do not trust me and do not want to use the image, you will find all configuration files and scripts in the files folder. You only have to install an Ubuntu Linux with all the drivers and... -
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sgminerv5
sgminer v5 - optimized X11/X13/NeoScrypt/etc. kernel switching miner
OpenCL GPU-based mining software (most suitable for AMD GPUs) -
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Sumo Easy Miner
The most easy, intuitive CPU miner for cryptonote-based cryptocurrency
A GUI-based Monero mining software designed for ease of use with SumoCoins. -
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NiceHash Miner
NiceHash easy to use CPU & GPU miner
NiceHash Miner is an easy to use CPU & GPU cryptocurrency miner for Windows. With a simple an intuitive graphical user interface it allows you to quickly turn your PC, workstation or server into money-making cryptocurrency mining machine. Why leave your computer idle, whereas it could earn you Bitcoins with just a few clicks? NiceHash Miner is essentially the only tool a miner needs. No need to go through tons of configuration files, various mining software versions, configuration tuning or cryptocurrency coins market analysis. Auto-tuning for best performance and efficiency, automatic selection and runtime automatic switching to most profitable cryptocurrency algorithm are all integrated into NiceHash Miner and will enable you seamless, joyful and profitable mining experience. -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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Specstractor
Tool chain for the automated extraction/analysis of system invariants
Specstractor is an automated tool chain for the extraction and analysis of system specifications in the form of system invariants. These automatically generated invariants yield useful insight into the actual system behavior and can reveal flaws and missing elements in the developer-maintained specifications. Specstractor consists of two main components, the Extractor, which automatically extracts invariants from automatically generated test cases of a system using data mining, and... -
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BFGminer
Miner for Bitcoins
BFGMiner is a modular ASIC/FPGA miner written in C, featuring dynamic clocking, monitoring, and remote interface capabilities. Bitcoin miner software with multi-threaded multi-pool gpu, fpga and asic mining support. Bitcoins are a digital currency, exchanged freely against all other currencies. coins may be issued by everyone, one just needs considerable computer power - and luck. to even out rewards for one's contribution, many initiative have forms to provide pools of computers and share the load. -
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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MOGEN
The software for modeling the 3D structure of a genome using Hi-C data
The software builds 3D models of chromosomes or genome given chromosomal contacts data such as Hi-C, TCC, 5C. MOGEN was tested on simulated datasets. Using real Hi-C data of a human cell line, MOGEN built models that are consistent with knowledge about the genome of the cell line. Detail on how to use it: https://github.com/BDM-Lab/MOGEN It is published in Bioinformatics: http://bioinformatics.oxfordjournals.org/content/32/9/1286 Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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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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LorDG
3D genome reconstruction with Lorentzian objective function
LorDG is a software to build 3D chromosomes and genome model from chromosomal contact data such as Hi-C, TCC, 5C. Detail on how to use it: https://github.com/BDM-Lab/Lordg It is published in Nucleic Acids Research : http://nar.oxfordjournals.org/content/early/2016/11/29/nar.gkw1155.long Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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Reviz-it
Software tools to re-tell stories in a better way and expand them
The objective is to create tools that help you re-tell a story in an original way using the following method: - Take a short extract (e.g. paragraph) from the text. - Remove stop words, then replace the remaining words with synonyms at random. Keep only the synonyms that appear in a predefined list of texts to keep the vocabulary restricted to a very specific domain. - Build a series of word clouds with these randomly generated texts. - Let the user explore the words clouds to... -
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Algorithm Database
Efficient Algorithms implemented in Java
The Aim of this project is to provide a collection of reusable Algorithms which can be used effectively in different scenarios. Algorithm implementations are in Java. Objective here is to implement algorithms which should be more efficient than the JDK implementation and also to create a platform for the researchers who works on Data Mining, Encryption algorithms, ect.. to collaborate and contribute to this project. -
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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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DaMold
a data mining platform for variant annotation and visualization.
DaMold a powerful, integrated, web-based, and user-friendly tool to filter, annotate, cross-link, and visualize NGS, Sanger, and hotspot variants. It is easy-to-use software, which provides flexible input options and accepts variants in VCF and BED formats. For each variant DaMold predicts the variant effect, such as codon change, and amino acid change. Furthermore, it cross-links each variant with more than 30 clinically relevant public databases, which contain already reported SNPs and... -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". -
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CCKDM
Concern Mining
This is a tool for concern mining which uses a KDM model as input and the output is the same model with annotated concerns. It uses a Concern Library and a modified String Clustering K-means algorithm with Levenshtein metric to cluster the strings. -
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RAFTS3
Rapid Alignment Free Tool for Sequences Similarity Search
...RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3 -
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. Other functions are usable through either Java command-line commands or class inclusion into Java projects.
