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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

This software provides control over any miner accessible through the command line and is compatible with benchmarking across various platforms including AMD, NVIDIA, and CPU setups. It accommodates multiple mining pools such as MiningPoolHub, Zpool, HashRefinery, Nicehash, Ahashpool, BlockMunch, ItalYiiMP, and YiiMP.eu, and supports more than 35 distinct miner software options across over 100 configurations. Additionally, it features an optional mining rig monitoring capability and includes a Watchdog Timer that can identify and resolve miner failures. As an open-source initiative, it promises a host of new features on the horizon. The program also tracks cryptocurrency mining pools and coins in real-time to help you identify the most lucrative options for your machine. To get started, simply modify a batch file with your Bitcoin address or username, and you'll be able to mine immediately—even during the benchmarking process! MultiPoolMiner is designed to be more profitable than both Nicehash Miner 2 and Nicehash Miner Legacy by utilizing direct pool mining. Furthermore, it offers comprehensive support and documentation, including a detailed FAQ section to assist users in navigating its features effectively. With its user-friendly setup and robust functionality, it stands out as a reliable choice for anyone looking to maximize their mining efficiency.

Description

SAS Text Miner allows for the extraction of insights from a variety of text documents, revealing underlying themes and concepts. This tool effectively integrates quantitative data with unstructured text, merging text mining with conventional data mining approaches. As part of the SAS® Enterprise Miner suite, it necessitates that SAS Enterprise Miner is installed on the same system. Additionally, SAS High-Performance Text Mining can operate on either a computer grid or a single machine equipped with multiple CPUs. The text algorithms employed are designed to be multi-threaded and work in-memory, significantly enhancing both responsiveness and concurrency while minimizing input/output strain. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or utilize it through the procedures PROC HPTMINE and PROC HPTMSCORE. To quickly grasp SAS technology, individuals can benefit from courses offered by analytics professionals, ensuring they gain a comprehensive understanding of the tools available. Enhancing one’s knowledge in this area can lead to greater proficiency in data analysis and mining techniques.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Claymore Dual Miner Yes 
Ethminer Yes 
Mining Pool Hub Yes 
XMRig Yes 

Integrations

Claymore Dual Miner No 
Ethminer No 
Mining Pool Hub No 
XMRig No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

MultiPoolMiner

Founded

2017

Country

United States

Website

sourceforge.net/projects/multipoolminer.mirror/

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

support.sas.com/en/software/text-miner-support.html

Product Features

Product Features

Text Mining

Boolean Queries Yes 
Document Filtering Yes 
Graphical Data Presentation No 
Language Detection Yes 
Predictive Modeling Yes 
Sentiment Analysis Yes 
Summarization No 
Tagging No 
Taxonomy Classification Yes 
Text Analysis No 
Topic Clustering Yes 

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