EDUCBA

EDUCBA

MENUMENU
  • Explore
    • Lifetime Membership
    • All in One Bundles
    • Fresh Entries
    • Finance
    • Data Science
    • Programming and Dev
    • Excel
    • Marketing
    • HR
    • PDP
    • VFX and Design
    • Project Management
    • Exam Prep
    • All Courses
  • Blog
  • Enterprise
  • Free Courses
  • Log in
  • Sign up
Home Data Science Data Science Tutorials Head to Head Differences Tutorial Data Mining vs Machine Learning

Data Mining vs Machine Learning

Priya Pedamkar
Article byPriya Pedamkar

Updated June 14, 2023

Data mining vs Machine learning

Difference Between Data Mining and Machine Learning

Data mining, introduced in 1930, involves finding potentially useful, hidden, and valid patterns from large amounts of data. While machine learning introduced in near 1950 involves new algorithms from the data as well as previous experience to train and make predictions from the models, both of them intersect at the point of having useful datasets but other than that, they have various differences based upon the responsibilities, origin, Implementation, Nature, Application, Abstractions, Techniques and scope.

ADVERTISEMENT
Popular Course in this category
MACHINE LEARNING Course Bundle - 57 Courses in 1 | 32 Mock Tests

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Head to Head comparison Between Data mining and Machine learning (Infographics)

Below is the Top 10 Comparision between Data mining and Machine learning:

Data Mining vs Machine learning Infographics

Key Differences Between Data Mining and Machine Learning

Let us discuss some of the major differences between Data Mining and Machine Learning:

  1. To implement data mining techniques, it used two-component first one are the database and the second one is machine learning. The Database offers data management techniques, while machine learning offers data analysis techniques. But to implement machine learning techniques, it used algorithms.
  2. Data Mining uses more data to extract useful information, and that particular data will help to predict some future outcomes; for example, a sales company uses last year’s data to predict this sale, but machine learning will not rely much on data. It uses algorithms, for example, OLA and UBER machine learning techniques, to calculate the ETA for rides.
  3. Self-learning capacity is not present in data mining; it follows the rules and is predefined. It will provide the solution for a particular problem, but machine learning algorithms are self-defined and can change their rules as per the scenario; it will find out the solution for a particular problem and resolve it in its own way.
  4. The main and foremost difference between data mining and machine learning is without the involvement of humans, data mining can’t work, but in machine learning, human effort is involved only at the time when the algorithm is defined. After that, it will conclude everything by itself once implemented forever to use, but this is not the case with data mining.
  5. The result produced by machine learning will be more accurate than data mining since machine learning is an automated process.
  6. Data mining uses the database or data warehouse server, data mining engine, and pattern evaluation techniques to extract useful information. In contrast, machine learning uses neural networks, predictive models, and automated algorithms to make decisions.

Data Mining and Machine Learning Comparison Table

Below are the lists of points that describe the comparison between Data Mining and Machine Learning.

Basis for Comparison Data Mining Machine Learning
Meaning Extracting knowledge from a large amount of data Introduce a new algorithm from data as well as past experience
History Introduced in 1930, initially referred as knowledge discovery in databases Introduced in near 1950, the first program was Samuel’s checker-playing program
Responsibility Data mining is used to get the rules from the existing data. Machine learning teaches the computer to learn and understand the given rules.
Origin Traditional databases with unstructured data Existing data as well as algorithms.
Implementation We can develop our own models where we can use data mining techniques for We can use machine learning algorithms in decision trees, neural networks, and some other areas of artificial intelligence.
Nature Involves human interference more manually. Automated, once design is self-implemented, no human effort
Application used in cluster analysis used in web search, spam filter, credit scoring, fraud detection, computer design
Abstraction Data mining abstract from the data warehouse Machine learning reads machine
Techniques Involved Data mining is more of research using methods like machine learning Self-learned and trained system to do the intelligent task.
Scope Applied in the limited area It can be used in a vast area.

 Conclusion

In most cases now, data mining is used to predict the result from historical data or find a new solution from the existing data. Most of organization uses this technique to drive business outcomes where machine learning techniques are growing in a much faster way since it overcomes the problems with what data mining techniques have. But to drive the business still, we need to have data mining process because it will define the problem of a particular business, and to resolve such problem, we can use machine learning techniques. In one word, we can say that to drive a business, both Data mining and Machine learning techniques have to work hand in hand, one technique will define the problem, and the other will give you the solution in a much more accurate way.

Recommended Articles

This has been a guide to Data Mining vs Machine Learning. Here we have discussed Data Mining vs Machine Learning head-to-head comparison and key differences, along with infographics and comparison table. You may also look at the following articles to learn more –

  1. 8 Important Data Mining Techniques for Successful Business
  2. 7 Important Data Mining Techniques for Best Results
  3. 5 Best Difference Between Big Data Vs Machine Learning
  4. 5 Most Useful Differences Between Data Science vs Machine Learning
ADVERTISEMENT
Ai ARTIFICIAL INTELLIGENCE Course Bundle - 7 Courses in 1 | 3 Mock Tests
49+ Hours of HD Videos
7 Courses
3 Mock Tests & Quizzes
Verifiable Certificate of Completion
Lifetime Access
4.5
ADVERTISEMENT
PYTHON for Machine Learning Course Bundle - 39 Courses in 1 | 6 Mock Tests
125+ Hour of HD Videos
39 Courses
6 Mock Tests & Quizzes
Verifiable Certificate of Completion
Lifetime Access
4.8
ADVERTISEMENT
All-in-One Data Science Bundle - 400+ Courses | 550+ Mock Tests | 2000+ Hours | Lifetime |
2000+ Hour of HD Videos
80 Learning Paths
400+ Courses
Verifiable Certificate of Completion
Lifetime Access
4.7
ADVERTISEMENT
MS Excel & VBA for Data Science Course Bundle - 24 Courses in 1 | 10 Mock Tests
87+ Hours of HD Videos
24 Courses
10 Mock Tests & Quizzes
Verifiable Certificate of Completion
Lifetime Access
4.5
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more

🚀 Extended Cyber Monday Price Drop! All in One Universal Bundle (3700+ Courses) @ 🎁 90% OFF - Ends in ENROLL NOW