Data Mining MCQ with Answers

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Online MCQ Quiz of Data Mining

Data Mining

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Q: Synonym for data mining is

A. Data Warehouse

B. Knowledge discovery in database

C. Business intelligence

D. OLAP

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Q: Nominal and ordinal attributes can be collectively referred to as___attributes

A. perfect

B. consistent

C. qualitative

D. optimized

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Q: Which of the following is NOT a data quality related issue?

A. Attribute value range

B. Outlier records

C. Missing values

D. Duplicate records

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Q: The correct answer is: Tuple based visualization Technique
Data set {brown, black, blue, green, red} is example of
A. Continuous attribute

B. Ordinal attribute

C. Numeric attribute

D. Nominal attribute

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Q: Which of the following is not a Visualization Method?

A. Hierarchical visualization technique

B. Tuple based visualization Technique

C. Icon based visualization techniques

D. Pixel oriented visualization technique

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Q: Find odd man out

A. DBSCAN

B. K mean

C. PAM

D. K medoid

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Q: Which of the following is true for Classification?

A. A subdivision of a set

B. A measure of the accuracy

C. The task of assigning a classification

D. All of these

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Q: What is the strategic value of data mining?

A. design sensitive

B. cost sensitive

C. technical sensitive

D. time sensitive

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Q: We define a___as a subdivison of a set of examples into a number of classes

A. kingdom

B. tree

C. classification

D. array

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Q: ___is the out put of KDD

A. Query

B. Useful Information

C. Data

D. information

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Q: Which of the following can also applied to other forms?

A. Data streams & Sequence data

B. Networked data

C. Text & Spatial data

D. All of these

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Q: Which of the following applied on warehouse?

A. write only

B. read only

C. both a & b

D. none of these

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Q: Node is

A. A component of a network

B. In the context of KDD and data mining, this refers to random errors in a database table

C. One of the defining aspects of a data warehouse

D. None of these

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Q: Relational Algebra is

A. Data Definition Language

B. Meta Language

C. Procedural query Language

D. None of the above

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Q: Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.? Select one

A. Cluster Analysis

B. Regression

C. Clasification

D. Sequential pattern discovery

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Q: In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Select one

A. allow interaction with the user to guide the mining process

B. perform both descriptive and predictive tasks

C. perform all possible data mining tasks

D. handle different granularities of data and patterns

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Q: Self-organizing maps are an example of

A. Unsupervised learning

B. Supervised learning

C. Reinforcement learning

D. Missing data imputation

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Q: Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of

A. Supervised learning

B. Data extraction

C. Serration

D. Unsupervised learning

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Q: This is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant to marketing, such as age, gender, interests, spending habits, and so on

A. customer service chat

B. customer managed relationship

C. customer life cycle

D. customer segmentation

E. change management

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Q: This is an XML-based metalanguage developed by the Business Process Management Initiative (BPMI) as a means of modeling business processes, much as XML is, itself, a metalanguage with the ability to model enterprise data

A. BizTalk

B. BPML

C. e-biz

D. ebXML

E. ECB

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Data Mining MCQ with Answers

Online MCQ Quiz of Data Mining

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