information entropy
expected value of the amount of information delivered by a message
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information entropy
Summary
information entropy is a mathematical expression[1]. It ranks in the top 10% of mathematical_expression entities by monthly Wikipedia readership (4,400 views/month).[2]
Key Facts
- information entropy is credited with the discovery of Claude Shannon[3].
- information entropy's instance of is recorded as mathematical expression[4].
- information entropy's instance of is recorded as mathematical concept[5].
- information entropy is a type of information content[6].
- information entropy is a type of physical quantity[7].
- information entropy's Commons category is recorded as Entropy and information[8].
- information entropy is the opposite of negentropy[9].
- information entropy's topic's main category is recorded as Category:Entropy and information[10].
- information entropy's facet of is recorded as information[11].
- information entropy's described by source is recorded as IEC 80000-13:2008 Quantities and units — Part 13: Information science and technology[12].
- information entropy's main Wikidata property is recorded as P10746[13].
- information entropy's different from is recorded as negentropy[14].
- information entropy's different from is recorded as data size[15].
- information entropy's studied by is recorded as thermodynamics[16].
- information entropy's studied by is recorded as information theory[17].
- information entropy's on focus list of Wikimedia project is recorded as Wikipedia:Vital articles/Level/4[18].
- information entropy's maintained by WikiProject is recorded as WikiProject Mathematics[19].
- information entropy's recommended unit of measurement is recorded as shannon[20].
- information entropy's recommended unit of measurement is recorded as hartley[21].
- information entropy's recommended unit of measurement is recorded as nat[22].
Body
Definition and Type
Recorded instance of include mathematical expression[4] and mathematical concept[5]. Recorded subclass of include information content[6] and physical quantity[7]. information entropy is the opposite of negentropy[9].
Why It Matters
information entropy ranks in the top 10% of mathematical_expression entities by monthly Wikipedia readership (4,400 views/month).[2] It has Wikipedia articles in 27 language editions, a strong signal of global cultural recognition.[23] It is known by 47 alternative names across languages and contexts.[24]