Data Mining vs Machine Learning
Data Mining Vs Machine Learning
|Factors||Data Mining||Machine Learning|
|Origin||Traditional databases with unstructured data.||It has an existing algorithm and data.|
|Meaning||Extracting information from a huge amount of data.||Introduce new Information from data as well as previous experience.|
|Implementation||We can develop our own models where we can use
data mining techniques for.
|We can use machine learning algorithm in the decision tree, neural networks and some other area of artificial
|History||In 1930, It was known as knowledge discovery
|The first program, i.e., Samuel's checker playing program, was established in 1950.|
|Responsibility||Data Mining is used to obtain the rules from the
|Machine learning teaches the computer, how to learn and comprehend the rules.|
|Abstraction||Data mining abstract from the data warehouse.||Machine learning reads machine.|
|Applications||When compared to machine learning, data mining can
produce outcomes on the lesser volume of data. It is also
used in cluster analysis.
|It has various applications, used in web search, spam filter, credit scoring, computer design, etc.|
|Nature||It has human interference more towards the manual.||It is automated, once designed and implemented, there is no need for human effort.|
|Techniques involve||Data mining is more of research using a technique
like a machine learning.
|It is a self-learned and train system to do the task precisely.|
|Scope||Applied in the limited fields.||It can be utilized in a vast area.|