Answer:
Explanation:
false. many elements means a complicated picture, not a simple one.
Answer:
A process model is a narrative of each type of process. These models consist of processes that are inherently similar and are categorized accordingly; a logical set of actions executed in a comprehensible framework.
A project model is concise and visual, it depicts how a project will be implemented. They are specifically tailored according to each project, describing each of its functional aspects. Decision gates and partitions are important aspects and need to be exemplified throughout the project.
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.
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