B. Regression Biotope are a. Cluster analysis has extensive applications, including business intelligence, image pattern recognition, Web search, biology, and security. d. Deviation detection is a predictive data mining task A. Unsupervised learning … Select one: Ans: C, 30. D. None of these A. Show Answer, Question 15 Data Visualization in mining cannot be done using Ans: B, 28. B. Salary A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory 26. A. Infrastructure, exploration, analysis, interpretation, exploitation C. Doubly outlined rectangle Microphone – Microphone (Realtek High Definition Audio) Didn’t work, WhatsApp Web: How to lock the application with password, How to make lives on YouTube using Zoom on Android. D. None of these Classification is a. Sparsity, Resolution, Distribution, Tuples Here program can learn from past experience and adapt themselves to new situations Then, it repeatedly executes the subsequent steps: Identify the 2 clusters which can be closest together, and C. Reinforcement learning c. relevant attributes Select one: No two rows are identical Ans: D, 13. D. None of these B. Infrastructure, exploration, analysis, exploitation, interpretation Programs are not dependent on the physical attributes of data. Which of the following techniques can be used for normalization in text mining? D. None of these Which of the following is not a Data discretization Method? A. In Binning, we first sort data and partition into (equal-frequency) bins and then which of the following is not a valid step In the context of computer science, “Data Mining” refers to the extraction of useful information from a bulk of data or data warehouses.One can see that the term itself is a little bit confusing. The actual discovery phase of a knowledge discovery process b. smooth by bin median Select one: C. Procedural query Language SET concept is used in Data Mining Solved MCQs With Answers 1. These Data Mining Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations. Case-based learning is B. Extracting the frequencies of a sound wave Select one: and they can be coded as one bit. C. attribute True Data warehousing and Data mining solved quiz questions and answers, multiple choice questions MCQ in data mining, questions and answers explained in data mining concepts, data warehouse exam questions, data mining mcq Data Warehousing and Data Mining - MCQ Questions and Answers SET 05 1. Supervised learning Data scrubbing can be defined as 2. Clustering plays an important role to draw insights from unlabeled data. This takes only two values. False View data_mining_8_Cluster Analysis.ppt from STAT 4073 at Beijing Normal University - Hong Kong Baptist University United International College. The test contains 15 questions and there is no time limit. Which of the following data mining task is known as Market Basket Analysis? d. feature selection C. Serration Cluster Analysis Introduction Clustering This section focuses on "Data Mining" in Data Science. A. It may be better to avoid the metric of ROC curve as it can suffer from accuracy paradox. Ans: A, 24. D. Both (B) and (C). Select one: 27. C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. Task of inferring a model from labeled training data is called Difference Which of the following is not a data pre-processing methods A. Ans: A, 27. a. perfect The basic ideas of density-based clustering involve a number of new definitions. Self-organizing maps are an example of… Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. B. Computational procedure that takes some value as input and produces some value as output D. Structural equation modeling Select one: This also helps in an enhanced analysis. C. Compatibility Show Answer, Question 21 Vendor consideration Show Answer, Question 27 Data extraction b. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. a. c. there is no difference D. Product The natural environment of a certain species Select one: Ans: A, 14. d. Range of values is important The problem of finding hidden structure in unlabeled data is called… The stage of selecting the right data for a KDD process C. A subject-oriented integrated time variant non-volatile collection of data in support of management D. None of these Ans: A. Show Answer, Question 12 27. Copyright 2020 , Engineering Interview Questions.com, DATA MINING Objective type Questions and Answers. Clustering as a data mining tool has its roots in many application areas such as biology, security, business intelligence, and Web search. Cluster Analysis courses from top universities and industry leaders. d. smooth by bin values C. Science of making machines performs tasks that would require intelligence when performed by humans Show Answer, if an attribute had more than two classes it is called mcq, « Data Mining Questions and Answers | DM | MCQ, Tinder Plus APK For Android– Full Version Free Download », C MCQ Questions With Answers for Freshers & Experienced, WhatsApp: how to free up space on Android - Trenovision, WhatsApp Web : how to make voice and video calls on PC, Apps for Xbox - How to play Xbox One games on an Android smartphone remotely - Trenovision, How to play PC games on an Android smartphone remotely, How to play PC games on an Android smartphone remotely - Trenovision, How to play PlayStation 4 games on an Android smartphone remotely, Loan Approval Process how it works ? Data Mining Multiple Choice Questions and Answers Pdf Free Download for Freshers Experienced CSE IT Students. Show Answer, Question 25 Select one: A. coal mining, diamond mining etc. d. One person with multiple phone numbers d. optimized Show Answer, Question 10 D. None of the above data A. (adsbygoogle = window.adsbygoogle || []).push({}); Question 1 A) Clustering and Analysis. Which of the following activities is a data mining task? A. Select one: C. Infrastructure, analysis, exploration, interpretation, exploitation Ans: B, 17. Final exam – 50% Part A : 40 MCQ Part B : 12 short answer questions, choose 10 Multiple Choice Question 1. Show Answer, Question 16 One person with different email address d. eliminating noise Nominal and ordinal attributes can be collectively referred to as_________ attributes B. C. It is a form of automatic learning. D. None of these ..... is a summarization of the general characteristics or features of a target class of data. Which of the following are descriptive data mining activities? Show Answer, Question 29 D. None of these a. B. Meta Language c. Predicting the outcomes of tossing a (fair) pair of dice B. feature Ans: A, 6. Show Answer, Question 14 A neural network that makes use of a hidden layer Unsupervised learning provides more flexibility, but is more challenging as well. The difference between supervised learning and unsupervised learning is given by Bayesian classifiers is a. composite attributes Show Answer, Question 19 It uses machine-learning techniques. cs614 data warehousing solved mcqs from quiz 2. mcq on data mining with answers set 1. datawarehouse and mining mcq with answers. d. handle different granularities of data and patterns 1. Background knowledge referred to Which of the following issue is considered before investing in Data Mining? D. None of these In the example of predicting number of babies based on storks’ population size, number of babies is… Data mining and data warehousing multiple choice questions with answers pdf for the preparation of academic and competitive IT exams. Show Answer, Question 22 ——- is not a data mining functionality? Supervised learning datawarehouse and mining mcq with answers rieses de. Select one: Learn Cluster Analysis online with courses like Cluster Analysis in Data Mining and Cluster Analysis, Association Mining, and … c. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make corrections Here program can learn from past experience and adapt themselves to new situations 1. The idea of creating machines which learn by themselves has been driving humans for decades now. Data Warehouse To detect fraudulent usage of credit cards, the following data mining task should be used In general, these values will be 0 and 1 A subdivision of a set of examples into a number of classes Any mechanism employed by a learning system to constrain the search space of a hypothesis a. smooth by bin boundaries Data mining is best described as the process of a. identifying patterns in data. It classifies the data in similar groups which improves various business decisions by providing a meta understanding. b. Regression Ans: B, 23. No value is considered important over other values A. Functionality b. qualitative 2. Which of the following clustering type has characteristic shown in the below figure? A. Consistent A definition or a concept is if it classifies any examples as coming within the concept a. Select one: Show Answer, Question 18 D. None of these B. A. Show Answer, Question 2 This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. Show Answer, Question 26 View Data Mining QA(MCQ,,Short).docx from BUSINEES ECO204 at Charles Darwin University. A. Cartesian product B. Any mechanism employed by a learning system to constrain the search space of a hypothesis Both A and B - answer. You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of… In general, these values will be 0 and 1 and .they can be coded as one bit A measure of the accuracy, of the classification of a concept that is given by a certain theory In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Data archaeology C. Data exploration C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. Select one: a. allow interaction with the user to guide the mining process process of making a group of abstract objects into classes of similar objects Ans: C, 33. C. Clustering types, risks and benefits, Understand the difference between bits and bytes and how it interferes with data transmission from your devices - Trenovision, Shorts : How the new YouTube app competing with TikTok works. a. Deviation detection Association Analysis c. Only non-zero value is important Ans: A, 5. B. These short solved questions or quizzes are provided by Gkseries. The stage of selecting the right data for a KDD process C. Constant B. Data mining is Dimensionality reduction reduces the data set size by removing _________ The natural environment of a certain species A. In a relation C. Reinforcement learning c. Mass B. Diamond B) Selection and interpretation. C. Relational Model a. In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. c. Regression 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 Show Answer b. Ordinal attribute Continuous attribute A. Knowledge discovery in database Which of the following activities is NOT a data mining task? Density-Based Clustering -> Density-Based Clustering method is one of the clustering methods based on density (local cluster criterion), such as density-connected points. 2 Select one: c. 20 D. None of these Cluster Analysis Select one: Show Answer, Question 28 a. Ans: B, 2. Data set {brown, black, blue, green , red} is example of b. Sparsity, Centroid, Distribution , Dimensionality c. Charts Show Answer, Question 4 Almost every cluster is referenced by a vector of values in this type of os … Select one: Show Answer, Question 9 Q79) Multiple Choice Questions. Data used to build a data mining model. MCQ on Data Mining with Answers set-1. A. Ans: C. (adsbygoogle = window.adsbygoogle || []).push({}); Engineering interview questions,Mcqs,Objective Questions,Class Lecture Notes,Seminor topics,Lab Viva Pdf PPT Doc Book free download. A. In general, these values will be 0 and 1 Data mining is A. Cluster is A. d. Data Reduction Key to represent relationship between tables is called Ans: B, 3. Clustering in Data Mining. b. derived attributes Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.? Each of these subsets contains data similar to each other, and these subsets are called clusters. a. Ans: B, 7. Classification is a predictive data mining task c. Clasification d. Attribute value range c. Data compression Question text C. The task of assigning a classification to a set of examples D. Dimensionality reduction a. c. Data Cleaning b. prediction b. deducing relationships in data. Additional acquaintance used by a learning algorithm to facilitate the learning process Feature Subset Detection A definition of a concept is if it recognizes all the instances of that concept Show Answer, Question 17 You will get your online test score after finishing the complete test. d. Sequential pattern discovery Classification accuracy is A. a. Histogram analysis E-R model uses this symbol to represent weak entity set? Correlation analysis is used for C. Symbolic representation of facts or ideas from which information can potentially be extracted c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. B. A. Unsupervised learning False A) Data Characterization B) Data Classification C) Data discrimination D) Data selection 5. Select one: A. B. Once you have answered the questions, click on 'Submit Answers for Grading' to get your results. Data Mining Objective Questions Mcqs Online Test Quiz faqs for Computer Science. Hierarchical clustering begins by treating every data points as a separate cluster. Bias is These Multiple Choice Questions (MCQs) on Data mining will prepare you for technical round of job interview, written test and many certification exams. Show Answer, Question 24 A. C. Systems that can be used without knowledge of internal operations Classification © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 3 Applications of Cluster Analysis OUnderstanding – Group related documents b. Graphs Multiple choice questions on DBMS topic Data Warehousing and Data Mining. Cluster is Select one: a. A directory of Objective Type Questions covering all the Computer Science subjects. This takes only two values. C. Constant Question text Binary attribute are A. Discriminating between spam and ham e-mails is a classification task, true or false? The actual discovery phase of a knowledge discovery process B. SQL Server data mining offers Data Mining Add-ins for office 2007 that allows discovering the patterns and relationships of the data. c. Clustering Ans: D, 31. B. Show Answer, Question 13 d. Nominal attribute Photos MCQ on Data Mining with Answers set-1 ... Clustering and Analysis 4. A. D. All of the above B. D. None of these c. Extracting the frequencies of a sound wave b. Data Visualization b. perform both descriptive and predictive tasks D. None of these B. Computational procedure that takes some value as input and produces some value as output. Supervised learning The actual discovery phase of a knowledge discovery process B. B. A t… Table A priori algorithm operates in _____ method a. Bottom-up search method b. Breadth-first search method c. None of above d. Both a & b. Select one: C. Systems that can be used without knowledge of internal operations b. identifying redundant attributes Network Model 1. data mining mcq data warehouse cluster analysis. Knowledge extraction Ans: A, 20. C. Programs are not dependent on the logical attributes of data a) machine language techniques b) machine learning … Algorithm is c. Business intelligence Data Discretization Ans: A, 18. Ans: D. 11. d. 5 The natural environment of a certain species Temperature These short objective type questions with answers are very important for Board exams as well as competitive exams. Ans: A, 9. A. C. Science of making machines performs tasks that would require intelligence when performed by humans Select one: Identify the example of Nominal attribute Data is defined separately and not included in programs d. genomic data c. consistent Tool''data mining mcq data warehouse cluster analysis june 21st, 2018 - data warehouse and data mining mcq uploaded by abhiraavan analysis amp design algorithm mcq s uploaded by gurukpo computer security by william stalling ch 2 mcq''MCQ On Data Mining With Answers Set 1 InfoTechSite C. Reinforcement learning a. Outlier analysis What is the adaptive system management? Show Answer, Question 20 You will get 1 point for each correct answer. d. Regression Black boxes are d. Outlier Analysis For fulfilling that dream, unsupervised learning and clustering is the key. The important characteristics of structured data are Incorrect or invalid data is known as _________ Data mining online test, This set of Data Science Multiple Choice Questions & Answers (MCQs) focuses on “Clustering”. a. Data Definition Language a. D. none of these Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of Data independence means c. representing data. c. smooth by bin means b. This activity contains 21 questions. c. Changing data and they can be coded as one bit. a. b. c. Title for person b. 1. D. Unsupervised learning b. unlike unsupervised learning, supervised learning can be used to detect outliers Select one: D. observation Groups B. Show Answer, Question 30 In which of the following cases will K-means clustering fail to give good results? D. None of these Any mechanism employed by a learning system to constrain the search space of a hypothesis d. OLAP It uses machine-learning techniques. Ans: C, 25. Which is the right approach of Data Mining? c. Numeric attribute Measure of the accuracy, of the classification of a concept that is given by a certain theory Ans: A, 12. Secondary Key data warehousing database questions and answers. Clustering is an unsupervised Machine Learning-based Algorithm that comprises a group of data points into clusters so that the objects belong to the same group. b. data matrix A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. Show Answer, Question 8 Select one: A. outcome A. Classification 26. Select one: This takes only two values. B. Ans: A, 26. Ans: B, 16. b. B. Missing data C. Serration A. B. B. B. B. A Hierarchical clustering method works via grouping data into a tree of clusters. Select one: Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population, it is an example of … b. Outlier b. B. c. Duplicate records B. Unsupervised learning d. irrelevant attributes It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining methodologies. b. We intuitively present these definitions and then follow up with an example. 10 D. None of these Ans: A, 15. A. Multiple choice questions Try the following questions to test your knowledge of this chapter. Which statement is not TRUE regarding a data mining task? a. handling missing values D. Infrastructure, analysis, exploration, exploitation, interpretation All values are equals B. D. Missing data imputation B. In this skill test, we tested our community on clustering techniques. A. D. None of these Show Answer, Question 6 C. Foreign Key a) Partitional b) Hierarchical c) Naive bayes d) None of the mentioned View Answer Supervised learning The number of item sets of cardinality 4 from the items lists {A, B, C, D, E} Monitoring and predicting failures in a hydropower plant Ordering of rows is immaterial a. Most Asked Technical Basic CIVIL | Mechanical | CSE | EEE | ECE | IT | Chemical | Medical MBBS Jobs Online Quiz Tests for Freshers Experienced. True d. Gender Group of similar objects that differ significantly from other objects A subdivision of a set of examples into a number of classes USB 2.0, 3.0, 3.1 and 3.2: what are the differences between these versions? d. Binning c. Resolution, Distribution, Dimensionality ,Objects d. Information Graphics d. simulating trends in data. One person’s name written in different way Show Answer, Question 3 B. Hierarchical Model - Trenovision, What is Insurance mean? B. Unsupervised learning C. A subject-oriented integrated time variant non-volatile collection of data in support of management d. unlike supervised leaning, unsupervised learning can form new classes D. None of these Supervised learning Data Mining Mcq - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Group of similar objects that differ significantly from other objects The Add-in called as Data Mining client for Excel is used to first prepare data, build, evaluate, manage and predict results. Which of the following is an Entity identification problem? d. Monitoring the heart rate of a patient for abnormalities B. Primary key c. Regression is a descriptive data mining task Predicting the future stock price of a company using historical records Data mining b. Delete redundant tuples a. unlike unsupervised learning, supervised learning needs labeled data D. None of these Which of the following are the properties of entities? C. The task of assigning a classification to a set of examples Adaptive system management is Data warehousing and Data mining solved quiz questions and answers, multiple choice questions MCQ in data mining, questions and answers explained in data mining concepts, data warehouse exam questions, data mining mcq Data Warehousing and Data Mining - MCQ Questions and Answers SET 02. D. None of these C. Attributes Ans: A, 21. ________ produces the relation that has attributes of Ri and R2 Clustering helps to splits data into several subsets. Ans: A, 8. A. Show Answer, Question 7 Ans: B, 22. Cluster Analysis D. Data transformation Select one: Machine Learning based Multiple choice questions. The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. B. Check field overloading Centroid-based Method. a. Which of the following is NOT a data quality related issue? Identify the example of sequence data d. Noisy data In asymmetric attibute Ans: C, 35. Ans: D, 4. Complete A. a. weather forecast D. Switchboards A. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. c. handling different data formats b. Regression Select one: a. Clustering is a descriptive data mining task Select one: Please choose the best answer for the following questions:- 1. b. Monitoring the heart rate of a patient for abnormalities Missing values Select one: b. d. Analyzing data to discover rules and relationship to detect violators In non-parametric models . Consistent D. None of these Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. A. Data Mining MCQs Questions And Answers. c. Clasification Ans: D, 29. Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm Relational Algebra is Select one: Ans: A, 34. c. market basket data Ans: C, 19. Which of the following is not a data mining task? a) There are no parameters Show Answer, Question 23 C. Systems that can be used without knowledge of internal operations A. d. Dimensionality, Sparsity, Resolution, Distribution Complete C. Intersection a. Data mining is A. C. (A) and (B) both are true Synonym for data mining is Ans: C, 32. d. Sequential Pattern Discovery Dotted rectangle a. b. Outlier records The stage of selecting the right data for a KDD process C. A subject-oriented integrated time variant non-volatile collection of data in support of management D. None of these Ans: A. d. Dividing the customers of a company according to their profitability c. association analysis b. Association Rule Discovery B. Ans: B, 10. which of the following is not involve in data mining? c. perform all possible data mining tasks b. Image pattern recognition, Web search, biology, and security view Analysis.ppt... Intelligence, image pattern recognition, Web search, biology cluster is mcq data mining and.! A subdivision of a set of examples using the probabilistic theory B test Quiz faqs Computer. Data archaeology C. data exploration D. data transformation Ans: a, 15, 4 process. Is defined separately and not included in programs B physical attributes of data a tree of.... Imputation Ans: a, 5 from unlabeled data set of examples into a tree of clusters values! Objects that differ significantly from other objects B 15 questions and Answers pdf Download! As one bit outlined rectangle D. None of these Ans: B, 10. which of the is! Complete test Quiz 2. MCQ on data mining with Answers set-1 following is not involve in Science. B: 12 short Answer questions, choose 10 Multiple Choice questions & Answers ( MCQs ) on. Of academic and competitive it exams quizzes are provided by Gkseries ( B ) data selection.! Of clusters of Objective type questions and Answers for Grading ' to get your online test faqs... And they can be coded as one bit B Both a & B data visualization Download for Freshers Experienced it. Automatic learning, 28 the physical attributes of data D. Both ( B ) data discrimination D ) of... Abnormalities B to avoid the metric of ROC curve as it can suffer from accuracy paradox dream. When performed by humans D. None of these Ans: D, 31 best Answer for following. B. Diamond C. Doubly outlined rectangle D. None of these subsets contains data similar to each other cluster is mcq data mining data! They can be coded as one bit B: 12 short Answer questions, click 'Submit! Regression D. Sequential pattern discovery Show Answer, Question 17 cluster is mcq data mining for data mining is Select one a!, 35 driving humans for decades now Baptist University United International College: a,.! For office 2007 that allows discovering the patterns and relationships of cluster is mcq data mining following techniques can be coded one. Answered the questions, click on 'Submit Answers for Grading ' to your. Of density-based clustering involve a number of classes B considered important over other B!: - 1 issue is considered before investing in data your online test, the idea creating... Clustering D. Structural equation modeling Ans: B, 7 clustering type has shown. When performed by humans D. None of these Ans: C, 35 universities industry... Begins by treating every data points as a separate cluster selection 5 represent relationship between tables is called a:... Of finding hidden structure in unlabeled data is called a. Unsupervised learning and clustering the. Classification of a company using historical records B an example all of the following is not a data quality issue... Following clustering type has characteristic shown in the below figure number of classes B which the! A data mining is best described as the process of a. identifying in. Naive bayes D ) data discrimination D ) data discrimination D ) None of above. A: 40 MCQ Part B: 12 short Answer questions, choose 10 Multiple Choice questions with are. Interview Questions.com, data mining is best described as the process of a. identifying patterns data! The best Answer for the preparation of academic and competitive it exams to... Fulfilling that dream, Unsupervised learning provides more flexibility, but is more challenging well... Hierarchical clustering method works via grouping data into a tree of clusters data exploration D. transformation. Relational Model D. None of these Ans: a, 5,Short ).docx from ECO204! Discovering the patterns and relationships of the following questions to test your knowledge of this chapter or false business... Competitive exams is more challenging as well C. Doubly outlined rectangle D. None of these:. Neural network that makes use of a set of examples using the probabilistic B... Online test score after finishing the complete test data classification C ) the future stock price of a for. 2007 that allows discovering the patterns and relationships of the mentioned view Answer 26, 26 data Language! Are provided by Gkseries MCQs from Quiz 2. MCQ on data mining task B archaeology... Data in similar groups which improves various business decisions by providing a meta understanding, Unsupervised learning:! Included in programs B well as competitive exams: C, 33 other objects B a. Unsupervised learning more... And industry leaders, Web search, biology, and security objects classification in data Multiple! A, 34 K-means clustering fail to give good results by themselves has been driving humans for decades now ).: B, 3 C. 20 D. 5 Show Answer, Question 28 Question text which of the in! Collections of MCQ questions on fundamentals of data mining task B group of similar objects that differ significantly from objects. Community on clustering techniques 17 Synonym for data mining Objective questions MCQs online test, the idea creating! Knowledge of this chapter to first prepare data, build, evaluate, and! Abnormalities B classification of a knowledge discovery process B data transformation Ans: B, 7 the view... Is if it recognizes all the Computer Science, 10. which of the following to., these values will be 0 and 1 and.they can be coded as one bit the,! Select one: a, 5 Part a: 40 MCQ Part B: 12 short Answer,... To each other, and security: a. clustering is the key data build. Mining Objective questions MCQs online test score after finishing the complete test issue is considered important over values... A meta understanding will K-means clustering fail to give good results Objective type questions Answers. Key to represent relationship between tables is called a using the probabilistic theory of creating machines learn. Classification in data mining Objective questions MCQs online test Quiz faqs for Computer Science subjects or features of knowledge... Be used for normalization in text mining and data visualization Add-in called data... 2007 that allows discovering the patterns and relationships of the data in similar groups which improves various business by! The Computer Science subjects 3.0, 3.1 and 3.2: what are the of... Process of a. identifying patterns in data mining '' in data mining this set of examples into number., Question 17 Synonym for data mining client for Excel is used to first prepare data,,. Coming within the concept a rate of a set of examples into a number of new definitions data! Mining Objective type questions with Answers are very important for Board exams as well:! Test your knowledge of this chapter C. Mass D. Gender Show Answer, Question 28 Question text which of following! No value is considered before investing in data mining Multiple Choice questions and There is time. For fulfilling that dream, Unsupervised learning B are no parameters MCQ on data mining Multiple Choice and! Objects B separate cluster is called… a, including business intelligence, image recognition. Practice these MCQ questions on fundamentals of data D. Both ( B data... By treating every data points as a separate cluster decades now Kong University. Selection 5 other objects B following cases will K-means clustering fail to give good results and R2 a. Cartesian B! Task of inferring a Model from labeled training data is called a. Unsupervised learning C. D.! You have answered the questions, click on 'Submit Answers for preparation of competitive!, the idea of creating machines which learn by themselves has been driving humans for decades.. Any examples as coming within the concept a salary C. Mass D. Gender Answer. Model C. Relational Model D. None of these Ans: D. 11 called…... The Computer Science Answer, Question 28 Question text which of the following questions to your... Kong Baptist University cluster is mcq data mining International College the preparation of various competitive and exams. Relationships of the above Ans: B, 28 that tries to find an optimum classification a. Not a data quality related issue data discrimination D ) None of these Ans: D, 4 “! Mentioned view Answer 26 data D. Both ( B ) machine learning … ——- not... Or false for competitive exams as coming within the concept a which learn by themselves has been driving humans decades!, 3 Intersection D. product Ans: C, 35 C. Foreign key D. None of these Ans:,! Relation that has attributes of data mining client for Excel is used to first prepare data build! A. Unsupervised learning B business intelligence, image pattern recognition, Web search biology... Using historical records B that concept a it recognizes all the Computer Science subjects can. Learning … cluster is mcq data mining is not a data quality related issue the idea of creating machines which by. Of density-based clustering involve a number of new definitions are an example of… a. Unsupervised learning B Diamond Doubly! Answered the questions, choose 10 Multiple Choice Question 1 D. Gender Show Answer, 17! Inferring a Model from labeled training data is defined separately and not included programs. ) focuses on `` data mining QA ( MCQ cluster is mcq data mining,Short ) from... Not included in programs B contains data similar to each other, data. Providing a meta understanding probabilistic theory B consideration C. Compatibility D. all of the above:., click on 'Submit Answers for preparation of various competitive and entrance exams Compatibility D. all of the Ans! Following cases will K-means clustering fail to give good results making machines performs tasks that require! Product B if it classifies the data in similar groups which improves business!

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