1. Rapidminer 6
2. Rapidminer Studio

Advanced options. Updatable:Select if your model should take new training data without the need to retrain on the complete data set. Missings:Select if your model should handle missings values in the data. Row weights:Select if your model should take the importance of rows into account to give those with a higher weight more emphasis during training.

BOSTON--(BUSINESS WIRE)--RapidMiner, a data science platform enabling data loving people of all skill levels to rapidly create and operate enterprise artificial intelligence (AI) solutions for maximum business impact, today announced a partnership with Hivecell, the Edge-as-a-Service company, to allow users to rapidly create and operate models with streaming data from the edge.

Hivecell is the premiere Platform-as-a-Service for edge computing, offering simple, scalable solutions that take the compute power out of the cloud and place it at the true edge. Edge computing solves the latency and delay problems that occur when organizations rely solely on the cloud, enabling businesses to deploy compute power to thousands of locations outside of data centers. Hivecell takes computer power to the next level with stackable units at edge sites that collect the data generated from Internet-connected devices and process it on-site, only sending relevant data back to the cloud.

“There is a massive need for the ability to execute machine learning at the edge, especially under rugged conditions where it may be difficult to connect to central data centers or where comms costs are prohibitive,” said Fred Gedling VP of Corporate Development at RapidMiner. “Whether on a factory floor, at the point of sale, underground or at sea, intelligence at the true edge becomes real. By partnering with Hivecell, our users will now be able to use models built with the RapidMiner platform to enable AI-optimized decision-making wherever needed.”

株式会社KSKアナリティクスのプレスリリース（2021年4月9日 13時12分）世界で70万人以上が使用するノーコード機械学習ツールRapidMiner、製造業向けAI. 🥳 RAPIDMINER 9.9 IS OUT!!! 🥳 The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code. CLICK HERE TO DOWNLOAD New Extension: Interpretations - SHAP, LIME and Shapely. The latest tweets from @RapidMiner. Extract insights from unstructured content. For many years, “data” effectively meant numbers and figures. Today, many organizations have discovered great insights through text mining, extracting information from qualitative and textual content.

With this integration, the RapidMiner platform can be easily integrated into the Hivecell architecture, allowing Hivecell users to pool together data and build models centrally. These RapidMiner models are then pushed back out to the units at the edge for swift implementation and execution, guiding effective device- and location-specific decision making. Hivecell and RapidMiner together create a true Artificial Intelligence of Things (AIoT) edge solution.

“Hivecell allows data scientists to store and crunch data on-premise and deploy that data instantly, with an ultimate goal of pushing computing to the true edge, which is wherever our users happen to be,” said Jeffrey Ricker, co-founder and CEOof Hivecell. “We’re excited to partner with RapidMiner so that our users can also run and execute machine learning models on-site, allowing them to make predictions and execute solutions swiftly without the need of a large technical team.”

For businesses in environmentally intensive industries, AIoT solutions offer unique benefits to address the challenges of operating in such conditions:

• Lower operating costs: AIoT enables smarter, proactive repair of field and production equipment at lower risk with less production downtime.
• Reduced risk: Using AIoT to improve product quality and production processes reduces the risk of product failure and health, safety and environmental liabilities.
• Better customer experience: Greater reliability of products and service networks created by AIoT makes for a better customer experience and happier, more loyal customers.
• Increased revenue: Improving product design by using AIoT to understand usage, predict and prevent problems drives greater demand from the market and higher revenues.

To learn more about RapidMiner and its partnership with Hivecell, visit rapidminer.com.

About RapidMiner

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling data loving people of all skill levels across the enterprise to rapidly create and operate AI solutions for immediate business impact. We offer a full lifecycle platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. The RapidMiner Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. More than 40,000 organizations in over 150 countries rely on RapidMiner to increase revenue, cut costs, and reduce risk. Learn more here.

About Hivecell

Hivecell is the Edge-as-a-Service company redefining the category of edge computing with easy-to-deploy, future-proofed, technology agnostic solutions empowering companies to scale infinitely and save massive amounts of resources in their management and processing of big data. It takes compute power out of the data center and places it at the true edge, enabling companies to efficiently manage thousands of remote locations without the use of a huge IT team and at 50 percent of the cost of traditional cloud providers. To learn more visit, www.hivecell.com.

A great data mining application that allows you to import data from multiple sources and create complex analysis models in order to understand data trends

What's new in RapidMiner Studio 9.9.0:

• New Features:
• Data is the central piece in any RapidMiner process. The way RapidMiner internally deals with data has fundamentally changed in this release with the new Data Core (codename Belt). Its new columnar table representation provides a quantum leap in processing speed and memory efficiency for RapidMiner processes. Multiple operators already use it internally and it becomes fully available now for extension developers to create fast and efficient operators.
• Added a Set Positive Value operator for the new Data Core which can make nominal attributes binominal or change the positive value of binominal attributes

RapidMiner Studio is a Java based application designed to provide you with multiple tools for data analysis tasks. The program can help you browse through the data and create models in order to easily identify trends.

When you are dealing with a large databases, identifying the connection between two events can be difficult or even impossible. Since there are multiple businesses who rely on the available information to make important decisions, data analysts are using specialized applications to visualize and understand the data.

This program aims to provide you with an intuitive and effective tool for analyzing data from multiple sources. As a result, RapidMiner Studio allows you to load the required information from plain text files, Office documents or even database servers such as Oracle, MySQL or PostgreSQL.

In order to start an analysis you need to create a process and import the data from an external file or database. The included wizard allows you to specify the data range and detects duplicate data in order to prevent errors.

The Operators panel enables you to select the tool that you need to use and drop it on the main process window. Here you can visually arrange the desired tools, connect multiple operators and specify the execution order before starting the analysis.

If you are not a data analyst, the number of data transformation, visualization and modelling tools might seem overwhelming. However, the program provides you with multiple tutorials and an extensive online documentation in order to help you access the tools that you need.

You can also start by using one of the available templates and sample files in order to understand the basic functions. As the results of the analysis need to be shared with other users, the program includes a wide range of exporting options.

To sum up, RapidMiner Studio is an efficient solution for the analists who need to visualize and understand complex data.

Filed under

Rapidminer 6

• Limited to 10000 data rows
• Limited to 1 logical processor

RapidMiner Studio 9.9.0

runs on:

Windows 10 64 bit

file size:

269 MB

filename:

rapidminer-studio-win32-install.exe

main category:

Others

developer:

visit homepage

top alternatives FREE

Rapidminer Studio

top alternatives PAID