Average Ratings 3 Ratings

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Average Ratings 0 Ratings

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Description

Prohashing stands out as a highly reliable and lucrative cryptocurrency mining pool that serious miners depend on for effective profit generation. Unlike others, we offer transparency without hidden fees, ensuring that users receive daily payouts in a variety of coins and tokens, including even those that cannot be mined like EOS, NEM, and Cardano. With the convenience of linking to your Coinbase account, automatic bank transfers in your preferred local currency become a seamless experience. Our unique Proswitching algorithm simplifies the mining process, allowing you to either earn consistently or choose which coin to mine based on your preference. Our system intelligently mines the most profitable coin available, optimizing your earnings potential. You can also monitor real-time metrics such as hashrates, earnings, and electricity usage for individual miners and algorithms, or even organize your miners into custom groups. Tailoring alerts for your miners and account enhances your mining experience, while you can opt for Full-Pay-Per-Share (FPPS), Pay-Per-Last-N-Shares (PPLNS), or even venture into Solo mining modes. Furthermore, by adjusting your Payout Proportions, you can accumulate various coins of your choice, regardless of your mining activity, making it a versatile platform for all miners. Join us and elevate your mining operations to new heights while enjoying the benefits of our cutting-edge features.

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 

Integrations

Bitcoin No 
Ethereum 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

Prohashing

Founded

2013

Country

United States

Website

prohashing.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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