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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Choose a cryptocurrency and verify its corresponding port number, then begin mining using the appropriate miner and algorithm immediately. Our service offers an auto-switching port for each algorithm, allowing for seamless transitions between coins to maximize profitability. This feature is ideal for rental setups and is compatible with ASIC and FPGA miners. Users can also mine various algorithm-based coins using our Hub feature or third-party mining assistance tools. While GPU miners can benefit from this setup, some familiarity with the configuration and optimization processes is essential. It's crucial to verify that the miner's name aligns with the coin you intend to mine, as different algorithms require specific miners, although some may support multiple algorithms. To initiate mining, you will need to enter the correct port number, which begins at 20XXX, with each coin assigned unique port numbers that can be found on the respective pool's news page. You can engage in mining multiple coins utilizing the same algorithm, starting with port numbers from 17XXX. Additionally, auto-exchanged coins will be credited to your selected pool once a certain threshold of coins is reached. Remember, the mining landscape is constantly evolving, so staying informed about changes in coin profitability and port allocations is vital for maximizing your returns.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Bitcoin Yes 
Ethereum Yes 
MultiPoolMiner Yes 

Integrations

Bitcoin No 
Ethereum No 
MultiPoolMiner 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 Yes 
Mac No 
Linux Yes 
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

Mining Pool Hub

Website

miningpoolhub.com

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

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

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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