Answer:
They create categories for data.
Explanation:
They can create categories for data, by storing the data. Information itself can be stored in multiple ways, like creating categories!
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Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
Answer:
Especificación para diseñar lenguajes de marcado, que permite definir etiquetas personalizadas para descripción y organización de datos. ¿Para que sirve XML? Representar información estructurada en la web (todos documentos), de modo ... Las etiquetas se definen para crear los documentos, no tienen un significado
Explanation:
