Data Mining Task

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A data mining task is a data science task that is a discovery task (requires the discovery of novel and useful patterns from large datasets to solve a real-world problems).



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    • Q: What is the difference between data science and data mining?
    • A: Data science is a broad term that encompasses many aspects of processing and analyzing data. It includes data mining, but also includes machine learning, predictive analytics, statistics, and more. Data mining is a specific subdomain of data science that focuses on extracting data from large datasets. It is the process of finding patterns and trends from large datasets using algorithms and statistical models.


  1. "Data Mining Curriculum". ACM SIGKDD. 2006-04-30. Retrieved 2011-10-28. 
  2. Clifton, Christopher (2010). "Encyclopædia Britannica: Definition of Data Mining". Retrieved 2010-12-09. 
  3. Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning: Data Mining, Inference, and Prediction". Retrieved 2012-08-07. 
  4. Han, Jiawei; Kamber, Micheline (2001). Data mining: concepts and techniques. Morgan Kaufmann. p. 5. ISBN 9781558604896. "Thus, data mining should habe been more appropriately named "knowledge mining from data," which is unfortunately somewhat long" 
  5. See e.g. OKAIRP 2005 Fall Conference, Arizona State University, Datamining
  6. Witten, Ian H.; Frank, Eibe; Hall, Mark A. (30 January 2011). Data Mining: Practical Machine Learning Tools and Techniques (3 ed.). Elsevier. ISBN 978-0-12-374856-0. 
  7. Bouckaert, Remco R.; Frank, Eibe; Hall, Mark A.; Holmes, Geoffrey; Pfahringer, Bernhard; Reutemann, Peter; Witten, Ian H. (2010). "WEKA Experiences with a Java open-source project". Journal of Machine Learning Research 11: 2533–2541. "the original title, "Practical machine learning", was changed ... The term "data mining" was [added] primarily for marketing reasons."Template:Inconsistent citations