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