RapidMiner
Ottieni una capacità di analisi dati potente e precisa per il tuo team
RapidMiner è un prodotto Altair
RapidMiner è un prodotto Altair
RapidMiner è una piattaforma completa di data science che consente agli utenti di creare e implementare soluzioni di analisi avanzate. Offre un progettista di flussi di lavoro visivo, permettendo sia a utenti tecnici che non tecnici di creare facilmente modelli di machine learning.
RapidMiner supporta l'intero ciclo di vita della data science, dalla preparazione dei dati all'implementazione e al monitoraggio dei modelli.
Semplifica la creazione di flussi di lavoro analitici complessi tramite un'interfaccia drag-and-drop. Riduce la necessità di una codifica estensiva, rendendo la data science accessibile a una gamma più ampia di utenti.
Copre tutte le fasi del processo di data science, inclusa la preparazione dei dati, la costruzione dei modelli e l'implementazione. Fornisce una piattaforma unificata per l'analisi end-to-end.
Offre una vasta libreria di algoritmi di machine learning e tecniche statistiche. Consente agli utenti di costruire modelli diversi e sofisticati.
Elaborazione di flussi ad alta velocità e confronti storici. Precisione al nanosecondo e riproduzione dei dati.
Automatizza le attività ripetitive di data science. Aumenta l'efficienza del flusso di lavoro di data science.
Invia le tue domande ai nostri tecnici specializzati!
Mettiti in contatto con uno dei nostri esperti, che ti potrà fornire risposte certe o consigliare soluzioni affidabili.
CASE STUDY
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
CASE STUDY
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
CASE STUDY
Optimization tools, and specifically response surface methods (RSM), can be adapted very well in the design process to provide information around the design of a compressor stage. This article will cover two of the possible optimization uses: the search of optimum performance and data generation.
modefrontier optimization mechanics
CASE STUDY
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
CASE STUDY
The aim of this study was to find the best quality glass-clamping system, through parametric model optimization, for a new pyrolytic self-cleaning oven by Indesit.
modefrontier optimization consumer-goods appliances