RapidMiner

RapidMiner

Synthesize and Optimize Your Current Systems

RapidMiner

RapidMiner is a product of Altair

RapidMiner is a comprehensive data science platform that empowers users to build and deploy advanced analytics solutions. It provides a visual workflow designer, enabling both technical and non-technical users to easily create machine learning models.

RapidMiner supports the entire data science lifecycle, from data preparation to model deployment and monitoring.

RapidMiner

Main benefits

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  Visual Workflow Design

Simplifies the creation of complex analytics workflows through a drag-and-drop interface. Reduces the need for extensive coding, making data science accessible to a wider range of users.

  Comprehensive Data Science Lifecycle Support

Covers all stages of the data science process, including data preparation, model building, and deployment. Provides a unified platform for end-to-end analytics.

  Wide Range of Algorithms and Techniques

Offers a vast library of machine learning algorithms and statistical techniques. Enables users to build diverse and sophisticated models.

  Flexible Deployment Options

Supports deployment of models on-premises, in the cloud, or as embedded solutions. Provides scalability and adaptability to various deployment needs.

  Automation and Efficiency

Automates repetitive data science tasks. Increases the efficiency of the data science workflow.

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Insights

CASE STUDY

Propeller design by means of multiobjective optimization: CP propeller test case

Validatipon of the results by means of an experimental campaign carried out at Genoa University Cavitation Tunnel

Modern propeller requirements involve many different characteristics, not limiting only to maximum efficiency, but considering also propeller cavitating behavior and, more and more, its side effects, in terms of radiated noise and pressure pulses.

marine modefrontier optimization

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CASE STUDY

Flexible factory design and reconfiguration using digital simulation models

The text discusses the importance of digital simulation models in modern factory design and reconfiguration, particularly in response to shorter product lifecycles and increased customization demands. Traditional design methods often lead to inefficiencies and high costs, making digital simulation essential for creating flexible and adaptable production systems. The article highlights a case study involving a furniture assembly factory, where a manufacturer needed to efficiently handle a variety of custom kitchen cabinet orders. The system integrator was tasked with designing a robotic assembly line that could maintain production efficiency despite the high variety of products.

industry4 SIMUL8

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CASE STUDY

Filming the Bloodhound Super Sonic Car Land Speed Record

Using CAE to optimise the design of a prototype for a super sonic filming drone

This detailed technical case study describes how the students arrived at a supersonic aircraft drone prototype using MATLAB and modeFRONTIER in order to reduce the time and costs of numerical and wind-tunnel testing.

automotive modefrontier optimization

CASE STUDY

Development and optimization of crash brackets for ECE R29 regulation compliance

IVECO uses modeFRONTIER to simulate results to pass type-approval tests

This paper presents the main steps taken in the development phase of the IVECO cab suspension brackets to comply with the new ECE R29 crash regulation for Heavy Commercial Vehicles (HVC).

modefrontier optimization automotive

CASE STUDY

Advanced strategies for the flow field optimization of a medical device

How to use a hybrid method of CFD analysis for product optimization and performance improvement while reducing the computational effort and the time required to achieve the results

Further reduction of the heat loss compared to the best design of the NSGA-II first phase design optimization: a further 4% gained

cfd biomechanics ansys modefrontier optimization