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

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