B. A. C. Programs are not dependent on the logical attributes of data D. Dimensionality reduction Ans: D, 29. A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory Ans: A, 12) Which of the following issue is considered before investing in Data Mining? As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. A. A. A. A table with n independent attributes can be seen as an n-dimensional space Node is D. All of the above Which of the following features usually applies to data in a data warehouse? This also helps in an enhanced analysis. D. Missing data imputation Supervised learning Data mining is best described as the process of a) identifying patterns in data. Ans: A, 12. The result of the application of a theory or a rule in a specific case B. Ans: C, 30. Ans: C, 32. 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Doubly outlined rectangle In general, these values will be 0 and 1 C. attribute Task of inferring a model from labeled training data is called Ans: A, 18. Supervised learning Ans: A, 14. Dear Readers, Welcome to Data Mining Objective Questions and Answers have been designed specially to get you acquainted with the nature of questions you may encounter during your Job interview for the subject of Data Mining Multiple choice Questions.These Objective type Data Mining … A measure of the accuracy, of the classification of a concept that is given by a certain theory A. A. Please choose the best answer for the following questions:- 1. Data mining is Ans: B, 17. C. It is a form of automatic learning. Data Definition Language Here program can learn from past experience and adapt themselves to new situations 2. D. All of the above This takes only two values. Ans: A, 21. (adsbygoogle = window.adsbygoogle || []).push({}); Engineering interview questions,Mcqs,Objective Questions,Class Lecture Notes,Seminor topics,Lab Viva Pdf PPT Doc Book free download. C. Infrastructure, analysis, exploration, interpretation, exploitation A. A. Data Mining Interview Questions … The problem of finding hidden structure in unlabeled data is called… A. B. C. Intersection B. Diamond A table with n independent attributes can be seen as an n-dimensional space A. Cartesian product The Add-in called as Data Mining client for Excel is used to first prepare data… This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. Knowledge extraction D. Product A class of learning algorithms that try to derive a Prolog program from examples An algorithm that can learn Dotted rectangle D. None of these Supervised learning B. Unsupervised learning C. 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Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces A measure of the desired maximal complexity of data mining algorithms D. None of the above B. B. Question 25 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 … Discovery phase of a concept is if it recognizes All the instances of that a. Sand is referred to as gold mining rather than rock or sand is referred as! Gold mining rather than rock or sand is referred to as gold rather! Learning B. Unsupervised learning C. 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