Page 157 - DCAP606_BUSINESS_INTELLIGENCE

Business Intelligence

Notes 6. Pattern evaluation: This step is used to identify the truly interesting patterns representing
knowledge based on some interestingness measures.
7. Knowledge presentation: In this step, visualization and knowledge representation
techniques are used to present the mined knowledge to the user.
Figure 11.1 shows data mining as a step in process of knowledge discovery.

Figure 11.1: Data Mining as a Step in the Process of Knowledge Discovery

Source: http://www.emeraldinsight.com/content_images/fig/0670330804027.png
11.1.2 Types of Data Mining Tasks

Two types of Data mining task are:
1. Prediction Methods: This type of method uses some variable to predict unknown or future
values of other variables.
2. Description Methods: This type of method finds human-interpretable patterns that describe
the data.

11.1.3 Purpose of Data Mining

Data mining enables people to discover information that they can act on to better understand,
selectively market to and retain their best customers, or sharply cut consumer fraud.

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Caution In this we use pattern recognition logic to identity trends within a sample data set.

Self Assessment

Fill in the blanks:
1. ................................. is the practice of automatically searching large stores of data to discover
patterns and trends that goes beyond simple analysis.

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