Data Mining Algorithm: Difference between revisions
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** It can range from being a [[Data Understanding Algorithm]] to being a [[Predictive Modeling 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]]). | ** 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]]). | ||
* <B>Example(s):</B> | * <B>Example(s):</B> | ||
** A [[Supervised Human-Readable Model-based Classification Algorithm]], such as [[C4.5 Algorithm|C4.5]]. | ** A [[Supervised Human-Readable Model-based Classification Algorithm]], such as [[C4.5 Algorithm|C4.5]]. | ||
** An [[Association Rule Mining Algorithm]], such as [[Apriori Algorithm|Apriori]]. | ** An [[Association Rule Mining Algorithm]], such as [[Apriori Algorithm|Apriori]]. |
Latest revision as of 02:42, 27 March 2024
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)
- See: Data Mining Library, Numerical Analysis Algorithm, Data Compression Algorithm, Human In-the-loop Algorithm.
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