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Data Mining Process Flow Chart Flowchart Examples Diagram And Templates

Data Mining Process Flow Chart Flowchart Examples Diagram And Templates Crisp Techniques Of

By Sophie Dulhunty at November 08 2018 20:15:01

Tables : When your data doesn't clearly show a trend, use a table. You may have this data in Excel, and can even link to the Excel file. Quotations : Quotes are very powerful when they come from authorities or well-known individuals. In a persuasive presentation, you can use testimonials from other customers, for example. Stories : Stories are powerful when they support your message. They can be personal, related to current events, examples from other customers, and so on. They can be full-blown situations, or simple examples. Collect stories as you hear them and keep them in a file for use later.

Desperate to get your ex back? Can you think of nothing else? Perhaps that is the problem! Perhaps you are obsessed with the thought of getting your ex back. Perhaps you can think of nothing else. Perhaps your ex even senses your desperation! You see, if you want to get your ex back, you must understand the powerful psychology at work here. You must understand what is called applied psychology (or reverse psychology).

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After deciding on the points you want to make in your upcoming presentation, you need to figure out how to support those points. For example, if your point is that your company has the largest market share in the industry, quote the research (hopefully done by a third party) that says so. This applies to both business presentations and educational presentations. The support you provide for your message is essential for an effective presentation.

In medicine, programs have been developed that analyze the disease symptoms, medical history, and laboratory test results of a patient, and then suggest a diagnosis to the physician. The diagnostic program is an example of so-called expert systems-programs designed to perform tasks in specialized areas as a human would. Expert systems take computers a step beyond straightforward programming, being based on a technique called rule-based inference, in which preestablished rule systems are used to process the data. Despite their sophistication, systems still do not approach the complexity of true intelligent thought.

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