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Data Mining MCQ's

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What is true about data mining?
S Data Mining
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Explanation
Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining knowledge from data. The information or knowledge extracted so that it can be used.
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How many categories of functions involved in Data Mining?
S Data Mining
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There are two categories of functions involved in Data Mining : 1. Descriptive, 2. Classification and Prediction
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The mapping or classification of a class with some predefined group or class is known as?
S Data Mining
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Data Discrimination : It refers to the mapping or classification of a class with some predefined group or class
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The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called?
S Data Mining
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Mining of Correlations : It is a kind of additional analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs or between two item sets to analyze that if they have positive, negative or no effect on each other.
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__________ may be defined as the data objects that do not comply with the general behavior or model of the data available.
S Data Mining
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Outlier Analysis : Outliers may be defined as the data objects that do not comply with the general behavior or model of the data available.
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"Efficiency and scalability of data mining algorithms" issues comes under?
S Data Mining
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In order to effectively extract the information from huge amount of data in databases, data mining algorithm must be efficient and scalable.
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To integrate heterogeneous databases, how many approaches are there in Data Warehousing?
S Data Mining
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Data warehousing involves data cleaning, data integration, and data consolidations. To integrate heterogeneous databases, we have the following two approaches : Query Driven Approach, Update Driven Approach
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Which of the following is correct advantage of Update-Driven Approach in Data Warehousing?
S Data Mining
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Both A and B are advantage of Update-Driven Approach in Data Warehousing.
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What is the use of data cleaning?
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Data cleaning is a technique that is applied to remove the noisy data and correct the inconsistencies in data. Data cleaning involves transformations to correct the wrong data. Data cleaning is performed as a data preprocessing step while preparing the data for a data warehouse.
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Data Mining System Classification consists of?
S Data Mining
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Explanation
A data mining system can be classified according to the following criteria : Database Technology, Statistics, Machine Learning, Information Science, Visualization, Other Disciplines
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