Search Results for "mining" - Page 8
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Showing 461 open source projects for "mining"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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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". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . -
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...The big target is a fair distribution. BitSend doesn't have a blockhalving or ponz scheme. Also in 10 year or 20 year can you can mine BSD like today. You can mine BSD without mining equipment. You need only 5000 BSD and a server with static IP address. Why a 6 min Chain? BitSend does not generate thousands of empty blocks daily. This doesn't make a coin better or secure. Only 240 blocks will generate per day.Your advantage is a fast client synchronization and less harddisk space. Why 4,35 Mio Coins in year? ...
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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. -
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smartsbc
Smart Session Border Controller
...b) be pluguble, to allow more protection strategies to be available and focused on random threats. 2. Design SmartSBC (c) is a multithreaded service which contains serverla embeded and pluguble modules: a) Realtime Log file mining module. This subservice module is responsible to analize certain patterns reported in log files in order to detect possible intrusion threats. You can configure your own pattern in your own lof file in order to trigger alerts or take actions. b) Schedule module. This subservice module is responsible to trigger certain action based on cron strategies. ... -
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QAL
Query Abstraction Layer
Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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PayPeer
FAST AND SECURED PAYMENTS | BLOCKCHAIN TECHNOLOGY POWERED
PayPeer can be summarized as a decentralized payment network where computing power is required in order to mint new "coins". It can be used to send money all around the world at any time of day over the internet, much like an email. PayPeer "addresses" are used similarly to email addresses for sending and receiving payments. PayPeer is based on Bitcoin and overall it works very much like Bitcoin except that it uses a very different mechanism for maintaining address balances to improve... -
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GreenCoinX
GreenCoinX - Identified Digital Currency
A unique crypto currency featuring digital identification that addresses the “trust based concerns” with other virtual currencies. Identification is required before initiating a transaction, storing XGC, or generating and mining XGC. GreenCoinX identifies users and facilitates the collection of taxes by worldwide governments, thereby removing the two biggest barriers to widespread adoption of crypto currencies. In a Bloomberg TV interview in October, 2014 Bill Gates, the founder of Microsoft, when asked about bitcoin stated “The customers we’re talking about aren’t trying to be anonymous, they’re willing to be known, so bitcoin technology is key and you can add to it or you could build a similar technology where there’s enough attribution where people feel comfortable that this is nothing to do with terrorism or any type of money laundering.” -
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ankus
Data Mining and Machine Learning Algorithms based on MapReduce
[The feature of ankus] * ankus is a 'web-based big data mining project and tool'. - MapReduce-based data mining/machine learning algorithms library - Hadoop-based distributed bigdata system - offering a web-based GUI for easy use [The ankus project & License] * The ankus project consists of three as an open source. * ankus has Dual licensed under the community and commercial licenses -
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ExAM-Exome_Analysis_And_Mining
A whole exome sequencing analysis package and its graphical interface
During the past few years, whole exome sequencing has imposed itself for genetic research, largely due to its use for detection of causative mutations responsible for Mendelian disorders. As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community,... -
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This site contains four packages of Mass and mass-based density estimation. 1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB. 2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian...
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Web Application Protection
Tool to detect and correct vulnerabilities in PHP web applications
...WAP detects the following vulnerabilities: - SQL injection using MySQL, PostgreSQL and DB2 DBMS - Reflected cross-site scripting (XSS) - Stored XSS - Remote file inclusion - Local file inclusion - Directory traversal - Source code disclosure - OS command injection - PHP code injection WAP is a static analysis tool that performs taint analysis to detect vulnerabilities, tracking malicious users inputs and checking if they reach calls of sensitive functions. It has a low rate of false positives because has implemented a data mining module to predict false positives when detects vulnerabilities. The output of the tool is: - shows the vulnerabilities found and how they are corrected - new files with the corrections -
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ExSTraCS
Extended Supervised Tracking and Classifying System
This advanced machine learning algorithm is a Michigan-style learning classifier system (LCS) developed to specialize in classification, prediction, data mining, and knowledge discovery tasks. Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ... -
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The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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Mining CRISPRs in Environmental Datasets MinCED is a bioinformatic program to find Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRs) in genomes or environmental datasets such as metagenomes, in which sequence size can be anywhere from 100 to 800 bp. MinCED runs from the command-line and was derived from CRT (CRISPR Recognition Tool).
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Copy Number Explorer
Interactive Copy Number Analysis for Cancer Genomics
Deployed online at: https://arraycgh.shinyapps.io/Copy_Number_Explorer/ https://arraycgh.shinyapps.io/Copy_Number_Explorer_Survival/ Copy Number Explorer is a data mining tool for cancer researchers interested in the structural and copy number changes. Huge volumes of genomics data from nearly every cancer type are now freely available and several online databases have begun to collate and store this information. However, current tools focus on individual gene queries rather than chromosomal and region-based queries more relevant to some researchers. ... -
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MCaVoH
A toolkit for classification of human Microbiota
MCaVoH is a toolkit implemented in Matlab for Mining, Classification and Visualization of Human Microbiota. -
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Tetcoin
The Currency for Change
Tetcoin is a lite version of Bitcoin using scrypt as a proof-of-work algorithm. ~128 million total coins Pure mining distribution with no premine or ICO 4 minute block targets Starting reward of 128 coins per block subsidy halves in 544k blocks (~4 years) Hourly Difficulty Retargeting Merged Mining Support Enabled For more information, as well as an immediately useable, binary version of the Tetcoin client sofware, see http://tetcoin.co. -
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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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...The trials will be designed and planned through a flexible authoring tool, enabling semantic interoperability of clinical care information systems with clinical research information systems and drug and disease knowledge databases, as well as the appliance of advanced data mining techniques and enhanced learning algorithms.
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PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.
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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.).