Tuesday 20 May 2014

Difference Between Data Mining and Machine Learning


Parameter
Data Mining
Machine Learning
Definition
Data mining is a process to extract information from a data set and transform it into an understandable structure for further use.
It is a Technique that concerns the construction and study of systems that can learn from data.
Focus
It focuses on the discovery of unknown properties in the data.
It focuses on prediction, based on known properties learned from training data.
Database Size
It is an automatic or semi-automatic analysis that is performed on large quantities of data.
It is generally performed on small databases to increase accuracy.
Types
Association Rules
Classification
Clustering
Sequential Patterns
Sequence Similarity
Supervised
Un Supervised
Reinforcement


Relationship
Data Mining uses various Machine Learning methods, but for slightly different goals.
Machine learning also uses data mining Technique as "unsupervised learning" or as a “preprocessing step” for improvement of learner accuracy.
Applications
Forecasting
Classifying Things
Associating Similar Things
Clustering into Groups
Sequence Making

Automating  Employee Access Control
Protecting Animals
Predicting Emergency wait room times
Identifying Heart Failure
Classroom will learn, Digital Guardian, City will help you live in it and many more……
Example Software’s Used
Carrot2, GATE, UIMA, Weka, NLTK, Torch etc.
Apache Mahout ,ELKI, H2O, OpenCV, OpenNN, Weka, MATLAB etc.



Alternate Links:
Difference between Data Mining and Machine Learning
Difference between Machine Learning and Data Mining
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How Machine Learning is Different from Data Mining?
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Distinguish between Machine Learning and Data Mining
Data Mining vs Machine Learning
Machine Learning vs Data Mining
Tabular difference between Data Mining and Machine Learning
Tabular Difference Between Machine Learning and Data Mining
How we can distinguish between Data Mining and Machine Learning?
How we can distinguish between Machine Learning and Data Mining?

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