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What is SAS Text Miner?

SAS Text Miner facilitates the extraction of valuable insights from diverse text documents, uncovering hidden themes and concepts. This tool adeptly combines quantitative information with unstructured text, effectively blending text mining with traditional data mining techniques. Being a part of the SAS® Enterprise Miner suite, it requires that SAS Enterprise Miner is installed on the same system to function properly. Furthermore, SAS High-Performance Text Mining can run on both a grid of computers or a single machine with multiple CPUs, making it flexible for various computing environments. The text algorithms used are optimized for multi-threading and operate in memory, which greatly improves both speed and efficiency while reducing input/output load. Users can access SAS Text Miner as nodes within the SAS High-Performance Data Mining framework or through the procedures PROC HPTMINE and PROC HPTMSCORE. To better understand SAS technology, individuals can take advantage of training courses provided by analytics experts, which will help them attain a thorough grasp of the available tools. Gaining expertise in these areas not only boosts one’s analytical skills but also enhances overall capabilities in data mining and analysis methodologies. Ultimately, mastering these techniques can empower users to make more informed decisions based on data-driven insights.

What is Awesome Miner?

An all-encompassing solution designed to manage and enhance mining operations, it has the capacity to support up to 200,000 ASIC miners and 25,000 GPU/CPU miners. This powerful system is feature-rich and flexible, catering to the demands of large-scale mining endeavors. It utilizes profit switching based on real-time revenue metrics and power consumption, while also diagnosing mining problems and enabling automatic recovery processes. Users can experience boosts in performance, achieving a 10% increase for Antminer S9 models and an impressive 40% for Antminer S17 units, alongside improved energy efficiency and additional features. Mining operations can kick off in as little as one minute, with a straightforward setup process for all major mining pools accessible with just a click. The platform comes equipped with an integrated overclocking tool, empowering users to adjust clock speeds, voltage, power, and fan settings for their GPUs. Notably, Awesome Miner differentiates itself by providing overclocking capabilities for both AMD and nVidia GPUs without the need for third-party software. This overclocking functionality can also be effortlessly applied to an entire mining farm, customized to align with the mining algorithm currently in operation. With such extensive adaptability, users are positioned to enhance their mining productivity and profitability while significantly reducing downtime, ultimately leading to a more streamlined and efficient mining experience. This innovative approach not only optimizes performance but also ensures miners can stay competitive in a rapidly evolving market.

Media

Media

Integrations Supported

Mining-Dutch

Integrations Supported

Mining-Dutch

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

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

Company Facts

Organization Name

Awesome Miner

Date Founded

2012

Company Location

Swedish

Company Website

www.awesomeminer.com

Categories and Features

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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