Data Mining Environment: Difference between revisions

Latest revision as of 06:47, 7 January 2023

Context:
- It can range from being an Integrated Data Mining Environment to being a Loosely-Coupled Data Mining Environment.
- It can include Data Mining Libraries (which can contain ML, statistics, numerical analysis libraries).
Example(s):
- an Integrated Data Mining Environment, such as a SAS Environment, Microsoft Azure ML Environment, 0xdata H2O, ...
- a Python-based Data Mining Environment (iPython with scikit.learn with ...), R-based Data Mining Environment, ...
- a Data Mining Platform, such as Spark MLlib, cloudera/oryx [1], ...
- …
Counter-Example(s):
See: Data Mining System.

@@ Line 1: / Line 1: @@
 A [[Data Mining Environment]] is a [[software-based environment]] that can be used to solve a [[data mining task]].
+* <B>Context:</B>
+** It can range from being an [[Integrated Data Mining Environment]] to being a [[Loosely-Coupled Data Mining Environment]].
+** It can include [[Data Mining Librari]]es (which can contain [[ML library|ML]], [[statistics library|statistics]], [[numerical analysis librari]]es).
 * <B>Example(s):</B>
-** a [[SAS Environment]].
+** an [[Integrated Data Mining Environment]], such as a [[SAS Environment]], [[Microsoft Azure ML Environment]], [[0xdata H2O]], ...
-** an [[R Environment]].
+** a [[Python-based Data Mining Environment]] ([[iPython]] with [[scikit.learn]] with ...), [[R-based Data Mining Environment]], ...
+** a [[Data Mining Platform]], such as [[Spark MLlib]], [[cloudera/oryx]][https://github.com/cloudera/oryx], ...
+** …
 * <B>Counter-Example(s):</B>
 ** a [[Software Programming Environment]].
-* <B>See:</B> [[Data Mining System]], [[Data Mining Library]].
+** a [[Statistics Environment]].
+** a [[Mathematics Environment]].
+* <B>See:</B> [[Data Mining System]].
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+__NOTOC__
+[[Category:Concept]]