a. a. C. A subject-oriented integrated time variant non-volatile collection of data in support of management Then, it repeatedly executes the subsequent steps: Identify the 2 clusters which can be closest together, and Show Answer, Question 28 Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm Final exam – 50% Part A : 40 MCQ Part B : 12 short answer questions, choose 10 Multiple Choice Question 1. C. attribute Primary key Which of the following clustering type has characteristic shown in the below figure? Ans: D, 13. Knowledge extraction Extracting the frequencies of a sound wave Ans: D, 4. D. All of the above C. Procedural query Language Machine Learning based Multiple choice questions. Show Answer, Question 7 c. market basket data B. c. Title for person 1. 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. © Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 3 Applications of Cluster Analysis OUnderstanding – Group related documents D. None of these The important characteristics of structured data are a. and they can be coded as one bit. A. The natural environment of a certain species In the example of predicting number of babies based on storks’ population size, number of babies is… Ans: A, 24. True c. Predicting the outcomes of tossing a (fair) pair of dice D. None of these Show Answer, Question 26 Show Answer, Question 10 b. Ordinal attribute Select one: Select one: Which of the following is not a data pre-processing methods The difference between supervised learning and unsupervised learning is given by Clustering plays an important role to draw insights from unlabeled data. Show Answer, Question 21 In non-parametric models . B. A. d. Range of values is important The stage of selecting the right data for a KDD process B. A. d. Nominal attribute Select one: Ordering of rows is immaterial 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. None of the above Select one: b. D. None of these B. a. Bias is Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.? c. Duplicate records (adsbygoogle = window.adsbygoogle || []).push({}); Question 1 Monitoring the heart rate of a patient for abnormalities No value is considered important over other values C. Reinforcement learning d. Sequential Pattern Discovery Cluster is Difference Algorithm is Show Answer, Question 19 B. b. Association Rule Discovery Which of the following is NOT a data quality related issue? b. Graphs A. d. Regression data Dotted rectangle Continuous attribute a. Incorrect or invalid data is known as _________ C. It is a form of automatic learning. a. D. Switchboards b. Delete redundant tuples 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, 27. C. Serration A. Data mining A subdivision of a set of examples into a number of classes Show Answer, Question 13 A) Clustering and Analysis. 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. d. Dimensionality, Sparsity, Resolution, Distribution Select one: Show Answer, Question 25 b. deducing relationships in data. Ans: A, 14. D. None of these b. data matrix b. 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. The actual discovery phase of a knowledge discovery process Which statement is not TRUE regarding a data mining task? a. weather forecast C. Foreign Key Unsupervised learning provides more flexibility, but is more challenging as well. Groups d. Monitoring the heart rate of a patient for abnormalities One person with different email address B. Ans: D. 11. a) There are no parameters B. a. handling missing values B. Relational Algebra is a. D. None of these A. Multiple choice questions Try the following questions to test your knowledge of this chapter. In asymmetric attibute A. outcome 1. Cluster is A. A. Show Answer, Question 3 c. Clasification Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. You will get your online test score after finishing the complete test. A. Case-based learning is Here program can learn from past experience and adapt themselves to new situations Classification Select one: In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. process of making a group of abstract objects into classes of similar objects C. Reinforcement learning Ans: B, 17. 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. b. c. relevant attributes B) Selection and interpretation. B. One person’s name written in different way C. Data exploration Data scrubbing can be defined as A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory and they can be coded as one bit. C. Science of making machines performs tasks that would require intelligence when performed by humans Complete Ans: A, 9. d. Binning Data Mining Objective Questions Mcqs Online Test Quiz faqs for Computer Science. a. Ans: A, 20. b. Outlier records No two rows are identical In general, these values will be 0 and 1 These short solved questions or quizzes are provided by Gkseries. 27. b. d. 5 d. Dividing the customers of a company according to their profitability The problem of finding hidden structure in unlabeled data is called… A. cs614 data warehousing solved mcqs from quiz 2. mcq on data mining with answers set 1. datawarehouse and mining mcq with answers. The natural environment of a certain species c. perform all possible data mining tasks A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. Network Model B. 1. Show Answer, Question 18 a. Which of the following activities is NOT a data mining task? Learn Cluster Analysis online with courses like Cluster Analysis in Data Mining and Cluster Analysis, Association Mining, and … Any mechanism employed by a learning system to constrain the search space of a hypothesis D. none of these B. Meta Language Ans: A, 15. A directory of Objective Type Questions covering all the Computer Science subjects. B. feature Cluster Analysis B. The Add-in called as Data Mining client for Excel is used to first prepare data, build, evaluate, manage and predict results. Cluster analysis has extensive applications, including business intelligence, image pattern recognition, Web search, biology, and security. B. Hierarchical clustering begins by treating every data points as a separate cluster. Select one: SET concept is used in c. Extracting the frequencies of a sound wave A. Most Asked Technical Basic CIVIL | Mechanical | CSE | EEE | ECE | IT | Chemical | Medical MBBS Jobs Online Quiz Tests for Freshers Experienced. C. Clustering Data extraction B. c. Changing data C. Programs are not dependent on the logical attributes of data Ans: C, 33. A. Which of the following activities is a data mining task? 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. Check field overloading B. Hierarchical Model Data mining online test, data warehousing database questions and answers. This takes only two values. Ans: C, 35. c. Clasification Consistent A. d. Outlier Analysis B. Computational procedure that takes some value as input and produces some value as output 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 Data mining is Ans: A, 26. D. None of these The actual discovery phase of a knowledge discovery process B. Binary attribute are B. Infrastructure, exploration, analysis, exploitation, interpretation Complete All values are equals It may be better to avoid the metric of ROC curve as it can suffer from accuracy paradox. Ans: B, 10. which of the following is not involve in data mining? Temperature B. c. Business intelligence Select one: C. Constant Which of the following is not a Data discretization Method? Ans: A, 12. Supervised learning d. Data Reduction SQL Server data mining offers Data Mining Add-ins for office 2007 that allows discovering the patterns and relationships of the data. Ans: A, 6. In a relation Ans: C, 19. Cluster Analysis courses from top universities and industry leaders. 1. A measure of the accuracy, of the classification of a concept that is given by a certain theory We intuitively present these definitions and then follow up with an example. MCQ on Data Mining with Answers set-1 ... Clustering and Analysis 4. Show Answer, Question 6 Vendor consideration D. None of these D. None of these a. composite attributes Which of the following is not a data mining task? b. Ans: D, 31. Both A and B - answer. Any mechanism employed by a learning system to constrain the search space of a hypothesis This activity contains 21 questions. Question text This takes only two values. Select one: Ans: A, 5. Clustering as a data mining tool has its roots in many application areas such as biology, security, business intelligence, and Web search. A. b. C. Intersection Which of the following are the properties of entities? Select one: A definition or a concept is if it classifies any examples as coming within the concept b. Sparsity, Centroid, Distribution , Dimensionality B. Unsupervised learning b. qualitative Almost every cluster is referenced by a vector of values in this type of os … d. Information Graphics C. Systems that can be used without knowledge of internal operations B. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. What is the adaptive system management? Select one: a) Partitional b) Hierarchical c) Naive bayes d) None of the mentioned View Answer Select one: Predicting the future stock price of a company using historical records c. handling different data formats Select one: Data used to build a data mining model. Data mining is best described as the process of a. identifying patterns in data. Ans: B, 23. Table Show Answer, Question 4 C. Systems that can be used without knowledge of internal operations a. Clustering is a descriptive data mining task A. Data Mining MCQs Questions And Answers. In which of the following cases will K-means clustering fail to give good results? Data Warehouse Monitoring and predicting failures in a hydropower plant Data is defined separately and not included in programs a. A. Unsupervised learning These short objective type questions with answers are very important for Board exams as well as competitive exams. Data mining is A. c. Resolution, Distribution, Dimensionality ,Objects Task of inferring a model from labeled training data is called a. Histogram analysis Data independence means Feature Subset Detection D. Product A. a. Sparsity, Resolution, Distribution, Tuples c. Only non-zero value is important Cluster Analysis Introduction Clustering 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.