Rapid Miner - GitHub Pagesharmanani.github.io/classes/csc498r/Notes/RapidMiner.pdf · RapidMiner is...
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Machine Learning (Laboratory) Introduction to RapidMiner Rapid Miner RapidMiner is a tool for experimenting with machine learning and data mining algorithms An experiment is a set of operators that perform different tasks in the data data input/output, data transformation, preprocessing, attribute selection, learning, evaluation, ... The experiments can be described visually as a process Javier B´ ejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 1 / 17
Transcript of Rapid Miner - GitHub Pagesharmanani.github.io/classes/csc498r/Notes/RapidMiner.pdf · RapidMiner is...
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner
RapidMiner is a tool for experimenting with machine learning anddata mining algorithms
An experiment is a set of operators that perform different tasks in thedata
data input/output, data transformation, preprocessing, attributeselection, learning, evaluation, ...
The experiments can be described visually as a process
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 1 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - First contact
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 2 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Setting a repository
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 3 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Setting a repository
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 4 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Setting a repository
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 5 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Perspectives
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 6 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - New project
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 7 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Process perspective
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 8 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Repository
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 9 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Operators
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 10 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Adding operators
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 11 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Connecting operators
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 12 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Metadata
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 13 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Complex Process
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 14 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Results Perspective
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 15 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Results Perspective
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 16 / 17
Machine Learning (Laboratory) Introduction to RapidMiner
Rapid Miner - Results Perspective
Javier Bejar (LSI - FIB - UPC) Machine Learning (Laboratory) Term 2010/2011 17 / 17
