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NiceHash is a cryptocurrency broker and exchange with an open marketplace for buyers and sellers of hashing power. The company provides software for cryptocurrency mining . The company was founded in 2014 by two Slovenian university students, Marko Kobal and Matjaž Škorjanc. [ 1 ]
Transaction fees are paid to the miner (mining pool). Different mining pools could share these fees between their miners or not. Pay-per-last-N-shares (PPLNS), Pay-Per-Share Plus (PPS+) or Full Pay-Per-Share (FPPS) are the most fair methods where the payouts from the pool include not only the block subsidy but also the transaction fees.
The current version is 4 for Microsoft Windows (2000 or later version). [3] Release history. The first version of NetMiner was released on Dec 21, 2001. There have ...
Get the tools you need to help boost internet speed, send email safely and security from any device, find lost computer files and folders and monitor your credit.
In 2014, The Register and US-CERT warned that via download.com's "foistware", an "attacker may be able to download and execute arbitrary code". [10] In 2015, research by Emsisoft suggested that all free download portals bundled their downloads with potentially unwanted software, and that Download.com was the worst offender. [11]
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
Free Download Manager is proprietary software, but was free and open-source software between versions 2.5 [6] and 3.9.7. Starting with version 3.0.852 (15 April 2010), the source code was made available in the project's Subversion repository instead of being included with the binary package. This continued until version 3.9.7. [7]
RapidMiner uses a client/server model with the server offered either on-premises or in public or private cloud infrastructures.. RapidMiner provides data mining and machine learning procedures including: data loading and transformation (ETL), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.