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Data Mining MCQs | MCQs on Data Mining

Data Mining Multiple-Choice Questions. 1. Which of these is correct about data mining? a. It is a procedure in which knowledge is mined from data. b. It involves processes like Data Transformation, Data Integration, Data Cleaning. c. It is a procedure using which one can extract information out of huge sets of data.

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Powerpoint may be started using ________. (a) Start>All Apps>Microsoft Office>Microsoft Powerpoint. (b) Pressing Windows+R, typing "powerpnt" and pressing enter. (c) both a & b. (d) none of them. Ans. c. 24. Delivering an information through Powerpoint helps _____ . (a) to keep the attention of audience.

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Information content is. A. The amount of information with in data as opposed to the amount of redundancy or noise. B. One of the defining aspects of a data warehouse. C. Restriction that requires data in one column of a database table to the a subset of another-column. D.

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Part 1: 30 data science quiz questions & answers. 1. Question: What is the process of converting raw data into a structured format for analysis? a) Data Visualization. b) Data Mining. c) Data Wrangling. d) Data Inference. Answer: c) Data Wrangling. 2.

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Molecular databases. Medical records. International organizations produce more information in a week than many people could read in a lifetime. 2. Automatic data …

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Data mining usually consists of four main steps: setting objectives, data gathering and preparation, applying data mining algorithms and evaluating results. 1. Set the business objectives: This can be the hardest part of the data mining process, and many organizations spend too little time on this important step. Data scientists and business ...

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1: Which industry can benefit from data mining? A. All of these. B. Retail. C. Manufacturing. D. Finance/Banking. Check Answer. 2: With which of these layers does a neural network …

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Terms in this set (78) Data Mining. the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data stored in structured …

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To summarize data in a compact form. c. To generate new data from existing data. d. To visualize data for easier analysis. Answer: a. To transform raw data into a suitable format for analysis. Explanation: Data preprocessing involves cleaning, transforming, and reducing the size of raw data to make it suitable for analysis. 3.

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Multi-Dimensional View of Data Mining • Data to be mined • Database data (extended -relational, object -oriented, heterogeneous, legacy), data warehouse, transactional data, stream, spatiotemporal, time-series, sequence, text and web, multi -media, graphs & social and information networks • Knowledge to be mined (or: Data mining functions

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Multiple Choice Questions

a) To create complex mathematical formulas. b) To check spelling and grammar. c) To create professional-looking graphics, such as diagrams and organizational charts. d) To add transition effects between slides. Click to View Answer and Explanation. ←. Next Post →. Here are 25 multiple-choice questions (MCQs) about Microsoft …

Data Mining MCQ (Multiple Choice Questions)

Answer: c Explanation: In some data mining operations where it is not clear what kind of pattern needed to find, here the user can guide the data mining process. Because a user has a good sense of which type of pattern he wants to find. So, he can eliminate the discovery of all other non-required patterns and focus the process to find only the …

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Answer: b Explanation: Knowledge discovery in databases is a multi-step process which is used to find patterns in the data. Data mining, one of the key steps in this process, is the use of certain algorithms to find these patterns according to the task on hand.

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50 Data Mining Objective Questions and Answers. 1. Typical techniques for data mining involve ___. A. Decision trees B. Neural networks C. Genetic algorithms D. All of the above Ans: D. 2. POS collects the information on the item ___. A. Brand name B. Size C. Category D. All of the above Ans: D

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Explanation: It is quite often that a database can contain multiple types of data, complex objects, and temporary data, etc., so it is not possible that only one type of system can …

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The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge ...

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Our MCQs focus on all topics of the Data Mining subject, covering all topics. This will help you to prepare for exams, contests, online tests, quizzes, viva-voce, interviews, and certifications. You can practice these MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice. 1.

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Which of the following is not important in determining data quality? 2. Sometimes the users submit incorrect data in the compulsory fields to avoid divulging personal information. This is known as _____. 3. Data cleaning involves filling in missing values. 4. Data integration is not a step in data preprocessing. 5.

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Check Answer. 16: You are a credit risk manager of a retail bank. Some information about customers are available to analytics. Based on this data you have to decide that a person will be a good or bad customer. Choose the appropriate data mining task for this business problems. A. Classification.