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Inserisci una parola o una frase in qualsiasi lingua 👆

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Traduzione e analisi delle parole tramite l'intelligenza artificiale ChatGPT

In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:

come viene usata la parola
frequenza di utilizzo
è usato più spesso nel discorso orale o scritto
opzioni di traduzione delle parole
esempi di utilizzo (varie frasi con traduzione)
etimologia

Cosa (chi) è occurrence$54490$ - definizione

DESCRIBES THE FREQUENCY OF TERMS THAT OCCUR IN A COLLECTION OF DOCUMENTS

Term-document matrix; Occurrency matrix; Occurrence matrix

Scale co-occurrence matrix

Scale Co-occurrence Matrix

Scale co-occurrence matrix (SCM) is a method for image feature extraction within scale space after wavelet transformation, proposed by Wu Jun and Zhao Zhongming (Institute of Remote Sensing Application, China). In practice, we first do discrete wavelet transformation for one gray image and get sub images with different scales.

https://en.wikipedia.org/wiki/Scale_co-occurrence_matrix

Co-occurrence network

A KNOWLEDGE ORGANIZATION SYSTEM

Co-occurrence networks

Co-occurrence network, sometimes referred to as a semantic network, is a method to analyze text that includes a graphic visualization of potential relationships between people, organizations, concepts, biological organisms like bacteria or other entities represented within written material. The generation and visualization of co-occurrence networks has become practical with the advent of electronically stored text compliant to text mining.

https://en.wikipedia.org/wiki/Co-occurrence_network

Minimum depth of occurrence

SHALLOWEST DEPTH IN THE OCEAN AT WHICH A SPECIES IS OBSERVED

Draft:Minimum depth of occurrence

The minimum depth of occurrence (MDO) is the shallowest depth in the ocean at which a species is observed. Because some aberrant individuals often can be found far outside their typical depth range, the MDO is sometimes defined as the depth below which 90% of individuals are observed or captured.

https://en.wikipedia.org/wiki/Minimum_depth_of_occurrence

Wikipedia

Document-term matrix

A document-term matrix is a mathematical matrix that describes the frequency of terms that occur in a collection of documents. In a document-term matrix, rows correspond to documents in the collection and columns correspond to terms. This matrix is a specific instance of a document-feature matrix where "features" may refer to other properties of a document besides terms. It is also common to encounter the transpose, or term-document matrix where documents are the columns and terms are the rows. They are useful in the field of natural language processing and computational text analysis.

While the value of the cells is commonly the raw count of a given term, there are various schemes for weighting the raw counts such as, row normalizing (i.e. relative frequency/proportions) and tf-idf.

Terms are commonly single words separated by whitespace or punctuation on either side (a.k.a. unigrams). In such a case, this is also referred to as "bag of words" representation because the counts of individual words is retained, but not the order of the words in the document.

https://en.wikipedia.org/wiki/Document-term matrix