Data Mining Algorithm

A Data Mining Algorithm is a data analysis algorithm that can be followed by a data mining system (to solve a data mining task).

• AKA: Data Analysis Method.
• Context:
  • It can (typically) require few assumptions of the underlying data (be a Non-Parametric Modeling Algorithm).
  • It can (sometimes) be a Machine Learning Algorithm, Statistical Modeling Algorithm, Numerical Analysis Algorithm, ...
  • It can range from being a Data Understanding Algorithm to being a Predictive Modeling Algorithm.
  • It can range from being an IID Data Mining Algorithm to being a Non-IID Data Mining Algorithm (such as a temporal analysis algorithm or a spatial analysis algorithm).
• Example(s):
  • A Supervised Human-Readable Model-based Classification Algorithm, such as C4.5.
  • An Association Rule Mining Algorithm, such as Apriori.
  • A Clustering Algorithm, such as k-Means.
  • a Latent Semantic Analysis Algorithm, ..
  • …
• Counter-Example(s)
  • Data Sorting Algorithm.
  • Deductive Inference Algorithm.
• See: Data Mining Library, Numerical Analysis Algorithm, Data Compression Algorithm, Human In-the-loop Algorithm.

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References

2009

• (Wu & Kumar, 2009) ⇒ Xindong Wu, and Vipin Kumar, editors. (2009). “The Top Ten Algorithms in Data Mining.” Chapman & Hall. ISBN:1420089641

2007

• (Bramer, 2007) ⇒ Max Bramer. (2007). “Principles of Data Mining." Springer. ISBN:1846287650

2006

• (Han & Kamber, 2006) ⇒ Jiawei Han, and Micheline Kamber. (2006). “Data Mining: Concepts and Techniques, 2nd ed." Morgan Kaufmann. ISBN:1558609016

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