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