SlideShare ist ein Scribd-Unternehmen logo
1 von 19
RapidMiner5 2.1 Introduction to RapidMiner5
What is Data Mining ?? Wikipedia: Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.
Data Mining with RapidMiner5 RapidMiner (formerly Yale):  Is an environment for machine learning and data mining processes.  Follows a modular operator concept which allows the design of complex nested operator chains for a huge number of learning problems.  Allows for the data handling to be transparent to the operators.
Data Mining with RapidMiner5 RapidMiner introduces new concepts of transparent data handling and process modeling which eases process configuration for end users.
Data Mining with RapidMiner5 Additionally clear interfaces and a sort of scripting language based on XML turns RapidMiner into an integrated developer environment for data mining and machine learning.
Getting RapidMiner 1. Download RapidMiner from the link www.rapid-i.com
Getting RapidMiner
Getting RapidMiner 3. The download page: Download the file for your system
Getting RapidMiner 4. Installing RapidMiner5: Double click on the setup file and the wizard will direct you:
Getting RapidMiner Accept the license Agreement
Getting RapidMiner Specify the directory for your installation
Getting RapidMiner
Getting RapidMiner Wait till the  wizard prompts you that the installation is complete. Click Next.
Getting RapidMiner Click ‘Finish’
Running RapidMiner5 Double click on the icon on your Desktop
Memory Usage Since performing complex data mining tasks and machine learning methods on huge data sets might need a lot of main memory, it might be that RapidMiner stops a running process with a note that the size of the main memory was not sufficient.  Java does not use the complete amount of available memory per default and memory must be explicitly allowed to be used by Java.
Plugins In order to install RapidMiner Plugins, it is sufficient to copy them to the lib/plugins subdirectory of the RapidMiner installation directory. RapidMiner scans all jar files in this directory. Its also possible to make you own plugins for RapidMiner5! We shall learn about that in forthcoming tutorials.
Supported file formats RapidMiner can read a number of input les. Apart from data files it can read and write models, parameter sets and attribute sets.
More Questions? Reach us at support@dataminingtools.net Visit: www.dataminingtools.net

Weitere Àhnliche Inhalte

Was ist angesagt?

Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
Simplilearn
 
Credit card fraud detection
Credit card fraud detectionCredit card fraud detection
Credit card fraud detection
kalpesh1908
 

Was ist angesagt? (20)

Credit card fraud detection using python machine learning
Credit card fraud detection using python machine learningCredit card fraud detection using python machine learning
Credit card fraud detection using python machine learning
 
Mining Frequent Patterns, Association and Correlations
Mining Frequent Patterns, Association and CorrelationsMining Frequent Patterns, Association and Correlations
Mining Frequent Patterns, Association and Correlations
 
Gradient descent method
Gradient descent methodGradient descent method
Gradient descent method
 
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, ClassificationData mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, Classification
 
Data streaming fundamentals
Data streaming fundamentalsData streaming fundamentals
Data streaming fundamentals
 
Introduction to Deep Learning
Introduction to Deep LearningIntroduction to Deep Learning
Introduction to Deep Learning
 
Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain Ratio
Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain RatioLecture 4 Decision Trees (2): Entropy, Information Gain, Gain Ratio
Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain Ratio
 
Is Machine learning useful for Fraud Prevention?
Is Machine learning useful for Fraud Prevention?Is Machine learning useful for Fraud Prevention?
Is Machine learning useful for Fraud Prevention?
 
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algori...
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
Credit card fraud detection
Credit card fraud detectionCredit card fraud detection
Credit card fraud detection
 
Ensemble learning
Ensemble learningEnsemble learning
Ensemble learning
 
Big Data Analytics Architecture PowerPoint Presentation Slides
Big Data Analytics Architecture PowerPoint Presentation SlidesBig Data Analytics Architecture PowerPoint Presentation Slides
Big Data Analytics Architecture PowerPoint Presentation Slides
 
Machine learning with Big Data power point presentation
Machine learning with Big Data power point presentationMachine learning with Big Data power point presentation
Machine learning with Big Data power point presentation
 
Adaptive Machine Learning for Credit Card Fraud Detection
Adaptive Machine Learning for Credit Card Fraud DetectionAdaptive Machine Learning for Credit Card Fraud Detection
Adaptive Machine Learning for Credit Card Fraud Detection
 
Credit card fraud detection
Credit card fraud detectionCredit card fraud detection
Credit card fraud detection
 
Data Science
Data ScienceData Science
Data Science
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
 

Ähnlich wie RapidMiner: Introduction To Rapid Miner

Exercises portfolio-Digital Curation Tools (IS40620)
Exercises portfolio-Digital Curation Tools (IS40620)Exercises portfolio-Digital Curation Tools (IS40620)
Exercises portfolio-Digital Curation Tools (IS40620)
softwaresatish
 
Danny Bickson - Python based predictive analytics with GraphLab Create
Danny Bickson - Python based predictive analytics with GraphLab Create Danny Bickson - Python based predictive analytics with GraphLab Create
Danny Bickson - Python based predictive analytics with GraphLab Create
PyData
 
The rise of big data governance: insight on this emerging trend from active o...
The rise of big data governance: insight on this emerging trend from active o...The rise of big data governance: insight on this emerging trend from active o...
The rise of big data governance: insight on this emerging trend from active o...
DataWorks Summit
 

Ähnlich wie RapidMiner: Introduction To Rapid Miner (20)

RapidMiner: Rapid Miner Products
RapidMiner:  Rapid Miner ProductsRapidMiner:  Rapid Miner Products
RapidMiner: Rapid Miner Products
 
RapidMiner: Rapid Miner Products
RapidMiner: Rapid Miner ProductsRapidMiner: Rapid Miner Products
RapidMiner: Rapid Miner Products
 
Exercises portfolio-Digital Curation Tools (IS40620)
Exercises portfolio-Digital Curation Tools (IS40620)Exercises portfolio-Digital Curation Tools (IS40620)
Exercises portfolio-Digital Curation Tools (IS40620)
 
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
 
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
 
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
IDENTIFY NAVIGATIONAL PATTERNS OF WEB USERS
 
The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...
The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...
The Rise of Big Data Governance: Insight on this Emerging Trend from Active O...
 
Danny Bickson - Python based predictive analytics with GraphLab Create
Danny Bickson - Python based predictive analytics with GraphLab Create Danny Bickson - Python based predictive analytics with GraphLab Create
Danny Bickson - Python based predictive analytics with GraphLab Create
 
The rise of big data governance: insight on this emerging trend from active o...
The rise of big data governance: insight on this emerging trend from active o...The rise of big data governance: insight on this emerging trend from active o...
The rise of big data governance: insight on this emerging trend from active o...
 
Lesson 2
Lesson 2Lesson 2
Lesson 2
 
App Engine Application for Detecting Similar Files in Google Drive
App Engine Application for Detecting Similar Files in Google DriveApp Engine Application for Detecting Similar Files in Google Drive
App Engine Application for Detecting Similar Files in Google Drive
 
GDSC Cloud Jam.pptx
GDSC Cloud Jam.pptxGDSC Cloud Jam.pptx
GDSC Cloud Jam.pptx
 
Red lambda FAQ's
Red lambda FAQ'sRed lambda FAQ's
Red lambda FAQ's
 
McAfee SIEM solution
McAfee SIEM solution McAfee SIEM solution
McAfee SIEM solution
 
Career opportunities in open source framework
Career opportunities in open source frameworkCareer opportunities in open source framework
Career opportunities in open source framework
 
Career opportunities in open source framework
Career opportunities in open source framework Career opportunities in open source framework
Career opportunities in open source framework
 
Chapter 8 security tools ii
Chapter 8   security tools iiChapter 8   security tools ii
Chapter 8 security tools ii
 
Hadoop project design and a usecase
Hadoop project design and  a usecaseHadoop project design and  a usecase
Hadoop project design and a usecase
 
Sabrina Kirstein @ RapidMiner
Sabrina Kirstein @ RapidMinerSabrina Kirstein @ RapidMiner
Sabrina Kirstein @ RapidMiner
 
10 reasons to choose the yii framework
10 reasons to choose the yii framework10 reasons to choose the yii framework
10 reasons to choose the yii framework
 

Mehr von Rapidmining Content

Mehr von Rapidmining Content (12)

RapidMiner: Word Vector Tool And Rapid Miner
RapidMiner:   Word Vector Tool And Rapid MinerRapidMiner:   Word Vector Tool And Rapid Miner
RapidMiner: Word Vector Tool And Rapid Miner
 
RapidMiner: Data Mining And Rapid Miner
RapidMiner:  Data Mining And Rapid MinerRapidMiner:  Data Mining And Rapid Miner
RapidMiner: Data Mining And Rapid Miner
 
RapidMiner: Setting Up A Process
RapidMiner:  Setting Up A ProcessRapidMiner:  Setting Up A Process
RapidMiner: Setting Up A Process
 
RapidMiner: Advanced Processes And Operators
RapidMiner:  Advanced Processes And OperatorsRapidMiner:  Advanced Processes And Operators
RapidMiner: Advanced Processes And Operators
 
RapidMiner: Learning Schemes In Rapid Miner5
RapidMiner:   Learning Schemes In Rapid Miner5RapidMiner:   Learning Schemes In Rapid Miner5
RapidMiner: Learning Schemes In Rapid Miner5
 
RapidMiner: Performance Validation And Visualization
RapidMiner:  Performance Validation And VisualizationRapidMiner:  Performance Validation And Visualization
RapidMiner: Performance Validation And Visualization
 
Rapid Miner: Data Transformation
Rapid Miner:   Data TransformationRapid Miner:   Data Transformation
Rapid Miner: Data Transformation
 
Rapid Miner: Nested Subprocesses
Rapid Miner:  Nested SubprocessesRapid Miner:  Nested Subprocesses
Rapid Miner: Nested Subprocesses
 
Rapidminer: Visualization Capabilities
Rapidminer:   Visualization CapabilitiesRapidminer:   Visualization Capabilities
Rapidminer: Visualization Capabilities
 
Rapidminer: Modelling Data
Rapidminer:  Modelling DataRapidminer:  Modelling Data
Rapidminer: Modelling Data
 
Rapidminer: Important Elements
Rapidminer: Important ElementsRapidminer: Important Elements
Rapidminer: Important Elements
 
RAPIDMINER: Rapidminerproducts
RAPIDMINER: RapidminerproductsRAPIDMINER: Rapidminerproducts
RAPIDMINER: Rapidminerproducts
 

KĂŒrzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

KĂŒrzlich hochgeladen (20)

Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 

RapidMiner: Introduction To Rapid Miner

  • 2. What is Data Mining ?? Wikipedia: Data mining is the process of extracting patterns from data. Data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.
  • 3. Data Mining with RapidMiner5 RapidMiner (formerly Yale): Is an environment for machine learning and data mining processes. Follows a modular operator concept which allows the design of complex nested operator chains for a huge number of learning problems. Allows for the data handling to be transparent to the operators.
  • 4. Data Mining with RapidMiner5 RapidMiner introduces new concepts of transparent data handling and process modeling which eases process configuration for end users.
  • 5. Data Mining with RapidMiner5 Additionally clear interfaces and a sort of scripting language based on XML turns RapidMiner into an integrated developer environment for data mining and machine learning.
  • 6. Getting RapidMiner 1. Download RapidMiner from the link www.rapid-i.com
  • 8. Getting RapidMiner 3. The download page: Download the file for your system
  • 9. Getting RapidMiner 4. Installing RapidMiner5: Double click on the setup file and the wizard will direct you:
  • 10. Getting RapidMiner Accept the license Agreement
  • 11. Getting RapidMiner Specify the directory for your installation
  • 13. Getting RapidMiner Wait till the wizard prompts you that the installation is complete. Click Next.
  • 14. Getting RapidMiner Click ‘Finish’
  • 15. Running RapidMiner5 Double click on the icon on your Desktop
  • 16. Memory Usage Since performing complex data mining tasks and machine learning methods on huge data sets might need a lot of main memory, it might be that RapidMiner stops a running process with a note that the size of the main memory was not sufficient. Java does not use the complete amount of available memory per default and memory must be explicitly allowed to be used by Java.
  • 17. Plugins In order to install RapidMiner Plugins, it is sufficient to copy them to the lib/plugins subdirectory of the RapidMiner installation directory. RapidMiner scans all jar files in this directory. Its also possible to make you own plugins for RapidMiner5! We shall learn about that in forthcoming tutorials.
  • 18. Supported file formats RapidMiner can read a number of input les. Apart from data files it can read and write models, parameter sets and attribute sets.
  • 19. More Questions? Reach us at support@dataminingtools.net Visit: www.dataminingtools.net